diff --git a/offers/travel-classification-regression-suite-20260223_005050/travel-classification-regression-suite-en-us-49001-20260223005024_enriched.csv b/offers/travel-classification-regression-suite-20260223_005050/travel-classification-regression-suite-en-us-49001-20260223005024_enriched.csv
new file mode 100644
index 0000000000000000000000000000000000000000..372e7504800ad74e2bfe266b2b9cbd245a6371f8
--- /dev/null
+++ b/offers/travel-classification-regression-suite-20260223_005050/travel-classification-regression-suite-en-us-49001-20260223005024_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 multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1-865586.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2-516165.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3-834002.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 4-671264.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5,"Theme: travel classification regression-suite multi-hop en-us; 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: 5-953979.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6-246816.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7-557031.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8-696373.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9-416756.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+10,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 10-724985.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+11,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 11-151932.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+12,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 12-752668.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+13,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 13-146621.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+14,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 14-212773.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+15,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 15-990702.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+16,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 16-821261.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+17,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 17-310110.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+18,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 18-277766.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+19,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 19-806631.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+20,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 20-517045.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+21,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 21-468212.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+22,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 22-842498.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+23,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 23-987484.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+24,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 24-248025.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+25,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 25-369096.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+26,"Theme: travel classification regression-suite multi-hop en-us; 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: 26-601307.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+27,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 27-981195.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+28,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 28-336164.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+29,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 29-283869.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+30,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 30-169627.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+31,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 31-308942.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+32,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 32-128474.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+33,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 33-217819.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+34,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 34-344193.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+35,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 35-126999.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+36,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 36-829298.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+37,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 37-193827.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+38,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 38-859521.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+39,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 39-466486.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+40,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 40-400756.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+41,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 41-548136.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+42,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 42-434524.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+43,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 43-471281.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+44,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 44-836921.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+45,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 45-439141.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+46,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 46-605516.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+47,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 47-975239.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+48,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 48-623882.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+49,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 49-111578.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+50,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 50-835343.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+51,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 51-318313.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+52,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 52-541641.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+53,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 53-926016.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+54,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 54-742885.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+55,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 55-602149.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+56,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 56-946595.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+57,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 57-280081.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+58,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 58-193033.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+59,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 59-509474.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+60,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 60-846641.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+61,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 61-779147.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+62,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 62-781221.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+63,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 63-465270.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+64,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 64-696295.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+65,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 65-735203.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+66,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 66-738322.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+67,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 67-585977.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+68,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 68-502167.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+69,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 69-908294.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+70,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 70-417826.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+71,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 71-318049.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+72,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 72-507212.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+73,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 73-901690.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+74,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 74-118255.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+75,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 75-356255.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+76,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 76-870821.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+77,"Theme: travel classification regression-suite multi-hop en-us; 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: 77-390328.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+78,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 78-969112.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+79,"Theme: travel classification regression-suite multi-hop en-us; 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: 79-113072.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+80,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 80-632059.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+81,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 81-874875.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+82,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 82-267355.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+83,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 83-509009.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+84,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 84-611222.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+85,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 85-183378.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+86,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 86-875527.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+87,"Theme: travel classification regression-suite multi-hop en-us; 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: 87-964440.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+88,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 88-455453.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+89,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 89-497615.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+90,"Theme: travel classification regression-suite multi-hop en-us; 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: 90-570587.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+91,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 91-628750.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+92,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 92-421289.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+93,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 93-499734.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+94,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 94-231374.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+95,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 95-454583.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+96,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 96-486791.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+97,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 97-172799.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+98,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 98-929909.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+99,"Theme: travel classification regression-suite multi-hop en-us; 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: 99-735003.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+100,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 100-751178.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+101,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 101-456715.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+102,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 102-907901.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+103,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 103-312590.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+104,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 104-618492.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+105,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 105-129666.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+106,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 106-171208.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+107,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 107-931260.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+108,"Theme: travel classification regression-suite multi-hop en-us; 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: 108-936647.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+109,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 109-977418.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+110,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 110-738522.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+111,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 111-339889.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+112,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 112-451299.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+113,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 113-781684.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+114,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 114-490751.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+115,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 115-627739.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+116,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 116-325859.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+117,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 117-785920.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+118,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 118-824484.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+119,"Theme: travel classification regression-suite multi-hop en-us; 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: 119-341718.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+120,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 120-477314.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+121,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 121-364202.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+122,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 122-575062.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+123,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 123-221967.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+124,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 124-521864.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+125,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 125-567102.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+126,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 126-347212.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+127,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 127-844366.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+128,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 128-286580.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+129,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 129-332355.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+130,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 130-265958.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+131,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 131-950710.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+132,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 132-897887.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+133,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 133-161804.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+134,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 134-756688.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+135,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 135-611429.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+136,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 136-762983.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+137,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 137-631747.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+138,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 138-877463.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+139,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 139-818632.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+140,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 140-461571.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+141,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 141-767059.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+142,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 142-392775.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+143,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 143-381616.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+144,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 144-249399.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+145,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 145-608263.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+146,"Theme: travel classification regression-suite multi-hop en-us; 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: 146-613111.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+147,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 147-890479.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+148,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 148-310119.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+149,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 149-268048.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+150,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 150-488742.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+151,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 151-968720.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+152,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 152-246267.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+153,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 153-126950.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+154,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 154-224412.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+155,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 155-601721.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+156,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 156-960538.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+157,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 157-414158.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+158,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 158-750727.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+159,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 159-275209.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+160,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 160-262847.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+161,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 161-883364.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+162,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 162-508030.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+163,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 163-592471.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+164,"Theme: travel classification regression-suite multi-hop en-us; 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: 164-534825.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+165,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 165-985352.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+166,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 166-256707.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+167,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 167-205415.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+168,"Theme: travel classification regression-suite multi-hop en-us; 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: 168-679976.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+169,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 169-586447.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+170,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 170-163175.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+171,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 171-223587.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+172,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 172-126828.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+173,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 173-136046.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+174,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 174-572860.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+175,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 175-394889.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+176,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 176-735805.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+177,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 177-210398.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+178,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 178-963682.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+179,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 179-150749.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+180,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 180-379736.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+181,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 181-826290.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+182,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 182-386286.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+183,"Theme: travel classification regression-suite multi-hop en-us; 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: 183-709407.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+184,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 184-567496.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+185,"Theme: travel classification regression-suite multi-hop en-us; 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: 185-798929.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+186,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 186-477460.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+187,"Theme: travel classification regression-suite multi-hop en-us; 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: 187-644587.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+188,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 188-529433.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+189,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 189-350780.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+190,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 190-749774.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+191,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 191-575397.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+192,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 192-946019.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+193,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 193-611428.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+194,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 194-613832.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+195,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 195-308574.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+196,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 196-853330.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+197,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 197-597139.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+198,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 198-306821.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+199,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 199-919450.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+200,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 200-726031.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+201,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 201-207033.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+202,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 202-524053.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+203,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 203-170465.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+204,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 204-484834.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+205,"Theme: travel classification regression-suite multi-hop en-us; 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: 205-107728.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+206,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 206-489958.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+207,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 207-286386.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+208,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 208-909441.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+209,"Theme: travel classification regression-suite multi-hop en-us; 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: 209-546423.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+210,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 210-264723.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+211,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 211-343860.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+212,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 212-669897.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+213,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 213-285609.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+214,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 214-246883.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+215,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 215-709509.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+216,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 216-696041.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+217,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 217-438482.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+218,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 218-763823.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+219,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 219-456308.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+220,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 220-337308.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+221,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 221-981501.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+222,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 222-974049.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+223,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 223-967748.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+224,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 224-743769.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+225,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 225-966537.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+226,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 226-100101.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+227,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 227-473393.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+228,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 228-826552.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+229,"Theme: travel classification regression-suite multi-hop en-us; 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: 229-821310.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+230,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 230-448612.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+231,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 231-204133.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+232,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 232-189885.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+233,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 233-915199.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+234,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 234-833585.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+235,"Theme: travel classification regression-suite multi-hop en-us; 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: 235-183632.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+236,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 236-894376.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+237,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 237-281566.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+238,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 238-954310.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+239,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 239-687587.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+240,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 240-307437.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+241,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 241-301618.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+242,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 242-988897.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+243,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 243-865972.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+244,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 244-893161.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+245,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 245-434526.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+246,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 246-204516.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+247,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 247-942135.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+248,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 248-813384.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+249,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 249-370058.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+250,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 250-456957.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+251,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 251-647616.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+252,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 252-226903.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+253,"Theme: travel classification regression-suite multi-hop en-us; 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: 253-218813.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+254,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 254-909098.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+255,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 255-881870.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+256,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 256-599065.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+257,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 257-386069.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+258,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 258-328588.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+259,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 259-682673.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+260,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 260-820907.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+261,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 261-716191.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+262,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 262-956534.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+263,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 263-206262.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+264,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 264-789919.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+265,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 265-711415.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+266,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 266-508375.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+267,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 267-537757.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+268,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 268-580005.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+269,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 269-666596.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+270,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 270-793098.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+271,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 271-149085.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+272,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 272-539376.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+273,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 273-306569.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+274,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 274-299301.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+275,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 275-641646.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+276,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 276-680553.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+277,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 277-476636.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+278,"Theme: travel classification regression-suite multi-hop en-us; 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: 278-301446.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+279,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 279-144689.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+280,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 280-969506.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+281,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 281-131067.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+282,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 282-948480.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+283,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 283-548808.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+284,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 284-350990.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+285,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 285-351011.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+286,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 286-748161.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+287,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 287-462838.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+288,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 288-271641.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+289,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 289-533527.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+290,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 290-337507.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+291,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 291-608068.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+292,"Theme: travel classification regression-suite multi-hop en-us; 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: 292-674949.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+293,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 293-685497.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+294,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 294-920882.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+295,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 295-871689.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+296,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 296-333098.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+297,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 297-390535.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+298,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 298-289198.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+299,"Theme: travel classification regression-suite multi-hop en-us; 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: 299-184454.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+300,"Theme: travel classification regression-suite multi-hop en-us; 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: 300-421876.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+301,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 301-543156.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+302,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 302-661803.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+303,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 303-434046.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+304,"Theme: travel classification regression-suite multi-hop en-us; 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: 304-485854.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+305,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 305-818040.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+306,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 306-391795.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+307,"Theme: travel classification regression-suite multi-hop en-us; 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: 307-380215.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+308,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 308-640480.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+309,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 309-189854.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+310,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 310-445235.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+311,"Theme: travel classification regression-suite multi-hop en-us; 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: 311-885123.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+312,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 312-852569.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+313,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 313-382641.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+314,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 314-920258.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+315,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 315-625822.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+316,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 316-639951.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+317,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 317-856590.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+318,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 318-772309.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+319,"Theme: travel classification regression-suite multi-hop en-us; 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: 319-541148.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+320,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 320-652614.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+321,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 321-395377.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+322,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 322-615081.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+323,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 323-818454.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+324,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 324-609277.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+325,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 325-497462.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+326,"Theme: travel classification regression-suite multi-hop en-us; 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: 326-838348.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+327,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 327-594808.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+328,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 328-168565.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+329,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 329-786331.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+330,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 330-992736.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+331,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 331-881828.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+332,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 332-644451.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+333,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 333-571412.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+334,"Theme: travel classification regression-suite multi-hop en-us; 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: 334-790842.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+335,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 335-223579.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+336,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 336-396569.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+337,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 337-586703.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+338,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 338-112208.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+339,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 339-840472.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+340,"Theme: travel classification regression-suite multi-hop en-us; 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: 340-510377.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+341,"Theme: travel classification regression-suite multi-hop en-us; 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: 341-276359.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+342,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 342-189315.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+343,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 343-258554.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+344,"Theme: travel classification regression-suite multi-hop en-us; 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: 344-798339.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+345,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 345-901037.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+346,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 346-570310.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+347,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 347-410462.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+348,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 348-320674.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+349,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 349-547354.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+350,"Theme: travel classification regression-suite multi-hop en-us; 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: 350-715116.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+351,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 351-383364.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+352,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 352-593346.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+353,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 353-727528.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+354,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 354-430129.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+355,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 355-949653.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+356,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 356-973888.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+357,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 357-230326.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+358,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 358-439137.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+359,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 359-420331.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+360,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 360-519861.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+361,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 361-380480.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+362,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 362-895708.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+363,"Theme: travel classification regression-suite multi-hop en-us; 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: 363-536312.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+364,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 364-823112.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+365,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 365-692659.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+366,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 366-287146.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+367,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 367-934439.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+368,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 368-391518.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+369,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 369-209947.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+370,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 370-913528.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+371,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 371-741377.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+372,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 372-523249.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+373,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 373-531267.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+374,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 374-631825.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+375,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 375-117185.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+376,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 376-328718.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+377,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 377-585890.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+378,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 378-867080.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+379,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 379-195988.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+380,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 380-797836.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+381,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 381-680542.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+382,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 382-114645.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+383,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 383-125667.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+384,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 384-353676.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+385,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 385-584988.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+386,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 386-526826.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+387,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 387-322668.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+388,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 388-805230.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+389,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 389-818895.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+390,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 390-547287.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+391,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 391-342104.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+392,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 392-485331.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+393,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 393-228868.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+394,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 394-174405.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+395,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 395-339992.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+396,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 396-486435.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+397,"Theme: travel classification regression-suite multi-hop en-us; 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: 397-409020.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+398,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 398-610777.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+399,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 399-808668.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+400,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 400-845086.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+401,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 401-131032.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+402,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 402-569291.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+403,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 403-522149.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+404,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 404-468014.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+405,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 405-684791.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+406,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 406-389670.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+407,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 407-537397.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+408,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 408-918298.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+409,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 409-420293.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+410,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 410-271993.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+411,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 411-551931.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+412,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 412-906355.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+413,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 413-950334.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+414,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 414-740444.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+415,"Theme: travel classification regression-suite multi-hop en-us; 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: 415-239898.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+416,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 416-908081.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+417,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 417-853335.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+418,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 418-213216.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+419,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 419-401352.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+420,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 420-487254.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+421,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 421-525373.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+422,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 422-355441.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+423,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 423-926936.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+424,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 424-668320.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+425,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 425-103680.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+426,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 426-542392.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+427,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 427-875369.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+428,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 428-542453.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+429,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 429-860776.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+430,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 430-571646.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+431,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 431-476938.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+432,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 432-367106.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+433,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 433-883218.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+434,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 434-883107.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+435,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 435-580287.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+436,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 436-904848.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+437,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 437-580638.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+438,"Theme: travel classification regression-suite multi-hop en-us; 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: 438-825507.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+439,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 439-595978.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+440,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 440-641285.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+441,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 441-615622.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+442,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 442-312007.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+443,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 443-667718.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+444,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 444-218883.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+445,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 445-815638.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+446,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 446-893361.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+447,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 447-754471.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+448,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 448-874659.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+449,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 449-963337.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+450,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 450-367889.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+451,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 451-270250.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+452,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 452-173751.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+453,"Theme: travel classification regression-suite multi-hop en-us; 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: 453-648897.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+454,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 454-147562.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+455,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 455-121349.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+456,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 456-612932.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+457,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 457-101218.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+458,"Theme: travel classification regression-suite multi-hop en-us; 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: 458-977496.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+459,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 459-772818.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+460,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 460-129055.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+461,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 461-686610.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+462,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 462-734922.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+463,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 463-505800.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+464,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 464-957264.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+465,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 465-874144.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+466,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 466-391422.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+467,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 467-335667.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+468,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 468-979128.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+469,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 469-154278.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
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+471,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 471-802379.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+472,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 472-273158.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+473,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 473-297227.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+474,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 474-409999.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+475,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 475-155241.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+476,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 476-285021.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+477,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 477-284320.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+478,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 478-610285.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+479,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 479-165807.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+480,"Theme: travel classification regression-suite multi-hop en-us; 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: 480-308619.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+481,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 481-388481.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+482,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 482-889782.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+483,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 483-606696.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+484,"Theme: travel classification regression-suite multi-hop en-us; 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: 484-608815.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+485,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 485-316558.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+486,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 486-300556.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+487,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 487-665099.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+488,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 488-880496.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+489,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 489-279012.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+490,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 490-369731.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+491,"Theme: travel classification regression-suite multi-hop en-us; 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: 491-841715.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+492,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 492-828984.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+493,"Theme: travel classification regression-suite multi-hop en-us; 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: 493-431021.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+494,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 494-150508.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+495,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 495-429569.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+496,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 496-115863.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+497,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 497-281001.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+498,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 498-949725.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+499,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 499-842640.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+500,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 500-428502.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+501,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 501-550597.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+502,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 502-563391.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+503,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 503-236786.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+504,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 504-233412.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+505,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 505-983222.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+506,"Theme: travel classification regression-suite multi-hop en-us; 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: 506-486878.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+507,"Theme: travel classification regression-suite multi-hop en-us; 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: 507-300118.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+508,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 508-206885.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+509,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 509-220354.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+510,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 510-344154.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+511,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 511-972553.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+512,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 512-524690.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+513,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 513-300427.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+514,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 514-482151.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+515,"Theme: travel classification regression-suite multi-hop en-us; 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: 515-490566.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+516,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 516-895012.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+517,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 517-682229.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+518,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 518-261275.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+519,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 519-136142.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+520,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 520-913207.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+521,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 521-704602.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+522,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 522-896391.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+523,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 523-274846.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+524,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 524-619797.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+525,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 525-339142.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+526,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 526-755756.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+527,"Theme: travel classification regression-suite multi-hop en-us; 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: 527-197574.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+528,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 528-156943.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+529,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 529-609510.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+530,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 530-703554.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+531,"Theme: travel classification regression-suite multi-hop en-us; 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: 531-842540.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+532,"Theme: travel classification regression-suite multi-hop en-us; 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: 532-530431.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+533,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 533-456658.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+534,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 534-204876.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+535,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 535-501582.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+536,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 536-619658.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+537,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 537-874688.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+538,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 538-770565.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+539,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 539-263262.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+540,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 540-692164.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+541,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 541-159154.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+542,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 542-280966.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+543,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 543-760143.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+544,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 544-570750.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+545,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 545-570910.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+546,"Theme: travel classification regression-suite multi-hop en-us; 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: 546-336624.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+547,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 547-933773.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+548,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 548-957695.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+549,"Theme: travel classification regression-suite multi-hop en-us; 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: 549-176786.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+550,"Theme: travel classification regression-suite multi-hop en-us; 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: 550-185909.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+551,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 551-577245.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+552,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 552-660678.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+553,"Theme: travel classification regression-suite multi-hop en-us; 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: 553-522865.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+554,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 554-510660.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+555,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 555-751165.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+556,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 556-958950.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+557,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 557-832531.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+558,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 558-719985.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+559,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 559-965982.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+560,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 560-868487.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+561,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 561-240150.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+562,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 562-771462.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+563,"Theme: travel classification regression-suite multi-hop en-us; 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: 563-592781.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+564,"Theme: travel classification regression-suite multi-hop en-us; 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: 564-508520.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+565,"Theme: travel classification regression-suite multi-hop en-us; 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: 565-856264.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+566,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 566-739708.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+567,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 567-332231.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+568,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 568-617911.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+569,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 569-677346.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+570,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 570-347601.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+571,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 571-293061.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+572,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 572-423676.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+573,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 573-871306.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+574,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 574-707045.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+575,"Theme: travel classification regression-suite multi-hop en-us; 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: 575-696818.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+576,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 576-888714.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+577,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 577-940764.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+578,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 578-833928.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+579,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 579-441962.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+580,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 580-444292.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+581,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 581-532125.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+582,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 582-262587.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+583,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 583-785740.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+584,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 584-257479.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+585,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 585-173355.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+586,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 586-995852.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+587,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 587-715041.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+588,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 588-781195.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+589,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 589-849834.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+590,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 590-316079.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+591,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 591-106713.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+592,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 592-823499.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+593,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 593-897388.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+594,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 594-381108.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+595,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 595-449958.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+596,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 596-862773.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+597,"Theme: travel classification regression-suite multi-hop en-us; 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: 597-277070.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+598,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 598-963074.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+599,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 599-661991.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+600,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 600-883810.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+601,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 601-559287.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+602,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 602-196064.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+603,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 603-627494.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+604,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 604-991384.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+605,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 605-391610.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+606,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 606-993875.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+607,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 607-799896.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+608,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 608-984858.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+609,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 609-918535.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+610,"Theme: travel classification regression-suite multi-hop en-us; 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: 610-731266.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+611,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 611-671012.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+612,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 612-825177.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+613,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 613-677842.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+614,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 614-646671.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+615,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 615-318470.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+616,"Theme: travel classification regression-suite multi-hop en-us; 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: 616-592042.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+617,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 617-963121.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+618,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 618-594247.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+619,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 619-375144.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+620,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 620-747705.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+621,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 621-915670.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+622,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 622-558775.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+623,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 623-173766.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+624,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 624-249656.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+625,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 625-849931.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+626,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 626-361688.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+627,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 627-362510.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+628,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 628-408298.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+629,"Theme: travel classification regression-suite multi-hop en-us; 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: 629-207263.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+630,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 630-375066.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+631,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 631-392113.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+632,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 632-232106.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+633,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 633-684088.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+634,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 634-548438.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+635,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 635-331958.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+636,"Theme: travel classification regression-suite multi-hop en-us; 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: 636-963689.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+637,"Theme: travel classification regression-suite multi-hop en-us; 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: 637-254633.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+638,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 638-505051.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+639,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 639-586468.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+640,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 640-441432.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+641,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 641-919625.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+642,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 642-298276.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+643,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 643-385088.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+644,"Theme: travel classification regression-suite multi-hop en-us; 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: 644-616524.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+645,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 645-944369.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+646,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 646-263134.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+647,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 647-776287.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+648,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 648-433117.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+649,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 649-628897.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+650,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 650-569279.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+651,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 651-541309.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+652,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 652-211307.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+653,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 653-569048.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+654,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 654-406570.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+655,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 655-916881.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+656,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 656-240939.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+657,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 657-735009.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+658,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 658-182318.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+659,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 659-715156.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+660,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 660-899446.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+661,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 661-456023.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+662,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 662-224001.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+663,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 663-850282.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+664,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 664-615404.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+665,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 665-897637.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+666,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 666-898819.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+667,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 667-459849.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+668,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 668-646474.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+669,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 669-583907.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+670,"Theme: travel classification regression-suite multi-hop en-us; 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: 670-424895.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+671,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 671-930874.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+672,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 672-662040.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+673,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 673-128891.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+674,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 674-703404.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+675,"Theme: travel classification regression-suite multi-hop en-us; 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: 675-875314.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+676,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 676-822650.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+677,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 677-996466.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+678,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 678-951777.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+679,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 679-648607.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+680,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 680-143968.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+681,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 681-702766.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+682,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 682-295077.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+683,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 683-300554.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+684,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 684-563462.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+685,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 685-374906.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+686,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 686-561434.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+687,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 687-785760.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+688,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 688-134803.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+689,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 689-368013.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+690,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 690-616360.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+691,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 691-755663.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+692,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 692-788653.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+693,"Theme: travel classification regression-suite multi-hop en-us; 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: 693-159388.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+694,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 694-777869.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+695,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 695-259715.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+696,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 696-420224.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+697,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 697-420342.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+698,"Theme: travel classification regression-suite multi-hop en-us; 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: 698-451130.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+699,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 699-443835.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+700,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 700-182581.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+701,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 701-950834.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+702,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 702-529684.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+703,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 703-434212.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+704,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 704-896425.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+705,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 705-399231.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+706,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 706-769248.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+707,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 707-753923.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+708,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 708-915946.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+709,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 709-585233.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+710,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 710-673581.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+711,"Theme: travel classification regression-suite multi-hop en-us; 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: 711-900662.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+712,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 712-823161.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+713,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 713-887330.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+714,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 714-845791.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+715,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 715-526545.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+716,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 716-329337.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+717,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 717-713973.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+718,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 718-692826.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+719,"Theme: travel classification regression-suite multi-hop en-us; 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: 719-466657.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+720,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 720-610306.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+721,"Theme: travel classification regression-suite multi-hop en-us; 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: 721-202081.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+722,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 722-363752.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+723,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 723-610153.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+724,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 724-885724.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+725,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 725-406106.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+726,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 726-199069.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+727,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 727-661308.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+728,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 728-352437.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+729,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 729-554737.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+730,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 730-487191.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+731,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 731-791335.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+732,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 732-786198.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+733,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 733-780673.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+734,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 734-975194.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+735,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 735-689179.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+736,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 736-873222.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+737,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 737-806006.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+738,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 738-580762.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+739,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 739-860096.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+740,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 740-556864.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+741,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 741-201700.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+742,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 742-156267.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+743,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 743-276181.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+744,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 744-682531.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+745,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 745-909095.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+746,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 746-764339.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+747,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 747-420361.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+748,"Theme: travel classification regression-suite multi-hop en-us; 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: 748-215782.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+749,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 749-165688.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+750,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 750-130977.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+751,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 751-169915.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+752,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 752-576431.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+753,"Theme: travel classification regression-suite multi-hop en-us; 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: 753-608167.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+754,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 754-749391.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+755,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 755-899388.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+756,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 756-951291.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+757,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 757-818320.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+758,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 758-668946.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+759,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 759-939759.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+760,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 760-402519.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+761,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 761-245897.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+762,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 762-589976.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+763,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 763-526075.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+764,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 764-461725.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+765,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 765-776744.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+766,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 766-893641.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+767,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 767-312293.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+768,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 768-629540.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+769,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 769-216028.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+770,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 770-125853.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+771,"Theme: travel classification regression-suite multi-hop en-us; 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: 771-629409.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+772,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 772-982813.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+773,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 773-567773.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+774,"Theme: travel classification regression-suite multi-hop en-us; 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: 774-242387.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+775,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 775-281075.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+776,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 776-135136.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+777,"Theme: travel classification regression-suite multi-hop en-us; 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: 777-483711.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+778,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 778-618123.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+779,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 779-562624.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+780,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 780-735176.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+781,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 781-507807.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+782,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 782-521437.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+783,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 783-501785.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+784,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 784-453353.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+785,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 785-535983.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+786,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 786-646919.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+787,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 787-855423.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+788,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 788-812943.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+789,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 789-802372.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+790,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 790-679139.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+791,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 791-420802.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+792,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 792-341377.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+793,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 793-970475.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+794,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 794-392645.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+795,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 795-857244.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+796,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 796-213563.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+797,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 797-103910.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+798,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 798-775098.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+799,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 799-176901.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+800,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 800-265531.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+801,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 801-735143.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+802,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 802-839672.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+803,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 803-151482.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+804,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 804-489655.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+805,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 805-857566.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+806,"Theme: travel classification regression-suite multi-hop en-us; 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: 806-812964.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+807,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 807-251598.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+808,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 808-672576.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+809,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 809-499042.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+810,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 810-890987.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+811,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 811-906009.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+812,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 812-750570.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+813,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 813-946391.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+814,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 814-709893.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+815,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 815-859524.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+816,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 816-700121.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+817,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 817-849563.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+818,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 818-312424.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+819,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 819-589198.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+820,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 820-759336.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+821,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 821-573944.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+822,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 822-516664.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+823,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 823-464252.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+824,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 824-723158.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+825,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 825-574418.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+826,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 826-336392.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+827,"Theme: travel classification regression-suite multi-hop en-us; 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: 827-844807.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+828,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 828-488696.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+829,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 829-897685.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+830,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 830-573975.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+831,"Theme: travel classification regression-suite multi-hop en-us; 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: 831-599199.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+832,"Theme: travel classification regression-suite multi-hop en-us; 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: 832-596184.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+833,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 833-602744.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+834,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 834-728081.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+835,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 835-649212.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+836,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 836-238076.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+837,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 837-614953.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+838,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 838-434675.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+839,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 839-714406.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+840,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 840-592063.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+841,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 841-504663.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+842,"Theme: travel classification regression-suite multi-hop en-us; 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: 842-203711.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+843,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 843-182232.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+844,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 844-325476.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+845,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 845-571244.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+846,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 846-373135.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+847,"Theme: travel classification regression-suite multi-hop en-us; 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: 847-239326.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+848,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 848-673383.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+849,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 849-337405.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+850,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 850-285104.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+851,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 851-364465.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+852,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 852-762060.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+853,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 853-895846.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+854,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 854-677537.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+855,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 855-366558.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+856,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 856-654879.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+857,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 857-630438.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+858,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 858-883712.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+859,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 859-685333.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+860,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 860-451836.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+861,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 861-174114.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+862,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 862-239368.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+863,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 863-484875.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+864,"Theme: travel classification regression-suite multi-hop en-us; 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: 864-756493.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+865,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 865-369742.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+866,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 866-423419.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+867,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 867-754552.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+868,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 868-520619.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+869,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 869-137612.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+870,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 870-358299.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+871,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 871-435521.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+872,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 872-993600.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+873,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 873-530194.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+874,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 874-706506.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+875,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 875-845123.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+876,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 876-990957.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+877,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 877-198144.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+878,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 878-344032.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+879,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 879-541042.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+880,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 880-858088.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+881,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 881-874863.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+882,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 882-735147.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+883,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 883-259146.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+884,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 884-691446.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+885,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 885-288161.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+886,"Theme: travel classification regression-suite multi-hop en-us; 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: 886-191944.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+887,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 887-913164.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+888,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 888-818649.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+889,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 889-258296.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+890,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 890-242854.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+891,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 891-735184.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+892,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 892-268353.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+893,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 893-652763.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+894,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 894-829011.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+895,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 895-515494.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+896,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 896-316852.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+897,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 897-840811.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+898,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 898-462363.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+899,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 899-811154.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+900,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 900-315230.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+901,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 901-858487.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+902,"Theme: travel classification regression-suite multi-hop en-us; 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: 902-172991.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+903,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 903-483947.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+904,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 904-818589.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+905,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 905-187128.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+906,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 906-354360.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+907,"Theme: travel classification regression-suite multi-hop en-us; 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: 907-498143.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+908,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 908-127401.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+909,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 909-283669.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+910,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 910-429225.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+911,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 911-916657.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+912,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 912-660655.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+913,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 913-633957.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+914,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 914-221389.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+915,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 915-555597.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+916,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 916-955154.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+917,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 917-253513.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+918,"Theme: travel classification regression-suite multi-hop en-us; 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: 918-786082.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+919,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 919-881452.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+920,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 920-259376.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+921,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 921-435084.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+922,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 922-424683.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+923,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 923-529146.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+924,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 924-843381.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+925,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 925-314613.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+926,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 926-491355.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+927,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 927-209200.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+928,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 928-491508.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+929,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 929-651502.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+930,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 930-223850.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+931,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 931-438270.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+932,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 932-519358.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+933,"Theme: travel classification regression-suite multi-hop en-us; 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: 933-389263.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+934,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 934-970035.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+935,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 935-296681.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+936,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 936-435638.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+937,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 937-131165.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+938,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 938-634422.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+939,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 939-388639.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+940,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 940-635397.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+941,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 941-807501.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+942,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 942-940232.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+943,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 943-349684.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+944,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 944-360924.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+945,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 945-196598.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+946,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 946-135800.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+947,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 947-181018.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+948,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 948-189664.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+949,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 949-731572.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+950,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 950-974668.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+951,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 951-611092.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+952,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 952-277962.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+953,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 953-263040.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+954,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 954-774792.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+955,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 955-539675.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+956,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 956-199064.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+957,"Theme: travel classification regression-suite multi-hop en-us; 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: 957-385469.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+958,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 958-985566.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+959,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 959-989010.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+960,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 960-350639.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+961,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 961-255295.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+962,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 962-771834.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+963,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 963-865220.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+964,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 964-229204.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+965,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 965-340822.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+966,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 966-727739.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+967,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 967-555307.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+968,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 968-577609.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+969,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 969-277981.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+970,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 970-576787.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+971,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 971-468879.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+972,"Theme: travel classification regression-suite multi-hop en-us; 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: 972-773829.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+973,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 973-548456.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+974,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 974-805667.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+975,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 975-373093.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+976,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 976-995028.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+977,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 977-110566.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+978,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 978-221092.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+979,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 979-384676.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+980,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 980-340030.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+981,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 981-551371.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+982,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 982-734684.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+983,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 983-593918.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+984,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 984-772369.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+985,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 985-451762.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+986,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 986-120543.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+987,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 987-567394.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+988,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 988-847680.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+989,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 989-558614.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+990,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 990-290767.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+991,"Theme: travel classification regression-suite multi-hop en-us; 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: 991-840299.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+992,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 992-138611.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+993,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 993-492960.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+994,"Theme: travel classification regression-suite multi-hop en-us; 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: 994-158659.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+995,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 995-667371.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+996,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 996-989148.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+997,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 997-667042.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+998,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 998-366695.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+999,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 999-223070.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1000,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1000-415117.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1001,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1001-451001.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1002,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 1002-534436.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1003,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1003-306755.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1004,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1004-255945.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1005,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1005-518540.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1006,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1006-261102.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1007,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1007-453126.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1008,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1008-971057.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1009,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1009-325513.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1010,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1010-747098.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1011,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1011-868052.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1012,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1012-546669.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1013,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1013-160040.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1014,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1014-145877.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1015,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1015-894013.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1016,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1016-685584.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1017,"Theme: travel classification regression-suite multi-hop en-us; 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: 1017-476868.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1018,"Theme: travel classification regression-suite multi-hop en-us; 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: 1018-629069.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1019,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1019-138597.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1020,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1020-383730.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1021,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1021-932904.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1022,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1022-609756.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1023,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1023-934729.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1024,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1024-340569.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1025,"Theme: travel classification regression-suite multi-hop en-us; 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: 1025-167327.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1026,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1026-745218.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1027,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1027-384169.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1028,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1028-984008.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1029,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1029-461456.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1030,"Theme: travel classification regression-suite multi-hop en-us; 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: 1030-393205.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1031,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1031-623179.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1032,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1032-142727.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1033,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1033-660178.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1034,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1034-800918.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1035,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1035-108668.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1036,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1036-135333.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1037,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 1037-772208.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1038,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1038-130268.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1039,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1039-800085.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1040,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1040-334285.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1041,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1041-998823.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1042,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1042-200339.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1043,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1043-796600.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1044,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1044-579194.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1045,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1045-945032.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
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+1047,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1047-828764.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1048,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1048-398365.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1049,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1049-977506.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
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+1051,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1051-893283.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1052,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1052-315516.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
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+1056,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1056-669095.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1057,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 1057-979061.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
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+1063,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1063-950459.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1064,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1064-128553.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1065,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 1065-692777.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1066,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1066-214613.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1067,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1067-442184.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1068,"Theme: travel classification regression-suite multi-hop en-us; 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: 1068-749442.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1069,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1069-906207.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1070,"Theme: travel classification regression-suite multi-hop en-us; 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: 1070-728670.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1071,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1071-676730.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1072,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1072-109002.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1073,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1073-218935.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1074,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1074-338078.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1075,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1075-308763.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1076,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1076-650832.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1077,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1077-765250.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1078,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 1078-216740.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1079,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1079-310641.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1080,"Theme: travel classification regression-suite multi-hop en-us; 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: 1080-400802.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1081,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 1081-718632.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1082,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1082-166143.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1083,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 1083-249886.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1084,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1084-982908.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1085,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1085-482538.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1086,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1086-333120.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
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+1088,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1088-397847.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1089,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1089-614167.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1090,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1090-563812.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
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+1093,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1093-723597.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
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+1095,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1095-345632.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1096,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1096-793561.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1097,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1097-431494.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
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+1099,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1099-593058.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1100,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1100-381058.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1101,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 1101-467236.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1102,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1102-384638.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1103,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1103-853744.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1104,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1104-651231.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1105,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1105-442625.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1106,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1106-263498.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1107,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1107-386621.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1108,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1108-571746.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1109,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1109-985407.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1110,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 1110-109213.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1111,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1111-423458.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1112,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1112-170876.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1113,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1113-918586.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1114,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1114-195597.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1115,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1115-750119.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1116,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1116-495581.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1117,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1117-408572.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1118,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1118-653554.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1119,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1119-864937.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1120,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1120-258325.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1121,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1121-143904.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1122,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1122-447839.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1123,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1123-468018.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1124,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1124-952399.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1125,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1125-851493.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1126,"Theme: travel classification regression-suite multi-hop en-us; 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: 1126-118122.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1127,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1127-321201.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1128,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1128-481908.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1129,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1129-693822.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1130,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1130-329796.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1131,"Theme: travel classification regression-suite multi-hop en-us; 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: 1131-763238.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1132,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1132-200846.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1133,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1133-858214.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1134,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1134-471486.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1135,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1135-378696.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1136,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1136-274339.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1137,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1137-266226.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1138,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1138-744696.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1139,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1139-534568.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1140,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1140-457389.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1141,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1141-291105.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1142,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1142-448188.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1143,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1143-290883.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1144,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1144-200278.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1145,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1145-909680.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1146,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1146-366568.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1147,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1147-745981.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1148,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1148-907933.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1149,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1149-695180.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1150,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1150-821817.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1151,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1151-950947.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1152,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1152-512546.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1153,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1153-263841.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1154,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1154-584982.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1155,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1155-981847.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1156,"Theme: travel classification regression-suite multi-hop en-us; 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: 1156-440419.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1157,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1157-790819.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1158,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1158-994135.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1159,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1159-999773.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1160,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1160-609886.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1161,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1161-904439.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1162,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1162-674033.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1163,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1163-849347.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1164,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1164-948563.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1165,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1165-815142.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1166,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1166-610739.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1167,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1167-145068.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1168,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1168-301941.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1169,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1169-916522.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1170,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1170-614753.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1171,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1171-617427.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1172,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1172-202566.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1173,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1173-196978.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1174,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1174-189434.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1175,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1175-265077.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1176,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 1176-399874.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
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+1178,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1178-163179.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1179,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1179-865762.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1180,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1180-197909.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1181,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1181-168541.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1182,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1182-213185.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1183,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1183-397881.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1184,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1184-265704.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1185,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1185-173053.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1186,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 1186-530740.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1187,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1187-680175.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1188,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1188-627779.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1189,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1189-249450.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1190,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1190-430449.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1191,"Theme: travel classification regression-suite multi-hop en-us; 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: 1191-489621.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1192,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1192-514580.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1193,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1193-413057.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1194,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1194-886869.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1195,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1195-135421.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1196,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1196-856791.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1197,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1197-372806.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1198,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1198-288433.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1199,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1199-268559.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1200,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1200-670180.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1201,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 1201-336916.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1202,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1202-791400.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1203,"Theme: travel classification regression-suite multi-hop en-us; 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: 1203-852566.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1204,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1204-163574.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1205,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 1205-860724.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1206,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1206-635816.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1207,"Theme: travel classification regression-suite multi-hop en-us; 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: 1207-420929.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1208,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 1208-860295.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1209,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1209-762062.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1210,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1210-364236.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1211,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1211-941356.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1212,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1212-335958.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1213,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 1213-354156.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1214,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1214-602200.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1215,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1215-939258.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1216,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1216-357761.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1217,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1217-328920.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1218,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1218-574095.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1219,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1219-763195.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1220,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1220-285084.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1221,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1221-222935.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1222,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1222-933640.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1223,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1223-124087.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1224,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1224-109691.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1225,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1225-562120.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1226,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1226-660423.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1227,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 1227-251139.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1228,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1228-225050.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1229,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1229-153099.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1230,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1230-959094.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1231,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1231-118702.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1232,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1232-799767.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1233,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1233-434658.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1234,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 1234-180812.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1235,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1235-631795.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1236,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1236-595897.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1237,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 1237-200726.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1238,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1238-300353.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1239,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1239-545734.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1240,"Theme: travel classification regression-suite multi-hop en-us; 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: 1240-526934.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1241,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1241-364432.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1242,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1242-954915.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1243,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1243-505058.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1244,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1244-499769.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1245,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1245-884545.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1246,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1246-762871.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1247,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1247-172029.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1248,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1248-703109.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1249,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1249-493289.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1250,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1250-818039.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1251,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1251-739061.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1252,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1252-694349.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1253,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1253-685941.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1254,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1254-100504.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1255,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1255-436478.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1256,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1256-950325.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1257,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1257-569687.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1258,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1258-884472.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1259,"Theme: travel classification regression-suite multi-hop en-us; 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: 1259-659253.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1260,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1260-291743.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1261,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1261-452585.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1262,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 1262-333572.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1263,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1263-877228.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1264,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1264-630153.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1265,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1265-300411.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1266,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1266-963020.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1267,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1267-705496.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1268,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1268-134232.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1269,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1269-468877.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1270,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1270-334117.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1271,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1271-670832.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1272,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 1272-268356.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1273,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1273-469252.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1274,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1274-966485.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1275,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1275-192209.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1276,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1276-326850.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1277,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1277-653776.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1278,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1278-783770.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1279,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1279-648186.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1280,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1280-646138.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1281,"Theme: travel classification regression-suite multi-hop en-us; 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: 1281-695924.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1282,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1282-191408.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1283,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1283-429241.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1284,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 1284-223747.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1285,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1285-743498.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1286,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1286-867465.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1287,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1287-484899.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1288,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1288-764768.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1289,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1289-561397.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1290,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1290-198061.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1291,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1291-799129.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1292,"Theme: travel classification regression-suite multi-hop en-us; 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: 1292-233727.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1293,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1293-469858.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1294,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1294-136484.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1295,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1295-470162.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1296,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1296-567745.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1297,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1297-608777.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1298,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1298-364162.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1299,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1299-975941.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1300,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1300-616192.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1301,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 1301-456751.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1302,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1302-676284.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1303,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1303-774058.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1304,"Theme: travel classification regression-suite multi-hop en-us; 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: 1304-503488.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1305,"Theme: travel classification regression-suite multi-hop en-us; 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: 1305-755014.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1306,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1306-774747.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1307,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1307-969432.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1308,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1308-177848.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1309,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1309-888112.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1310,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1310-863782.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1311,"Theme: travel classification regression-suite multi-hop en-us; 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: 1311-586359.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1312,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1312-175787.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1313,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1313-413801.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1314,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1314-279812.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1315,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1315-189517.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1316,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1316-272127.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1317,"Theme: travel classification regression-suite multi-hop en-us; 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: 1317-354501.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1318,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1318-894477.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1319,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1319-266807.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1320,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1320-186725.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1321,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 1321-932225.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1322,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1322-362096.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1323,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1323-197024.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1324,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1324-243227.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1325,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1325-199830.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1326,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1326-943603.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1327,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1327-851362.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1328,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1328-910959.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1329,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1329-261745.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1330,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1330-355696.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1331,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1331-353377.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1332,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1332-149817.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1333,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1333-245821.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1334,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1334-551357.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1335,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1335-963943.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1336,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1336-680401.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1337,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1337-691901.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1338,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1338-403438.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1339,"Theme: travel classification regression-suite multi-hop en-us; 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: 1339-659629.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1340,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1340-270853.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1341,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1341-128332.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1342,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1342-892582.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1343,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1343-406719.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1344,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1344-330964.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1345,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1345-799402.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1346,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1346-217121.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1347,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1347-484833.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1348,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1348-805509.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1349,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 1349-725646.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1350,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1350-860274.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1351,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1351-380722.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1352,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 1352-317060.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1353,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 1353-356936.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1354,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1354-401297.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1355,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1355-566907.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1356,"Theme: travel classification regression-suite multi-hop en-us; 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: 1356-882234.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1357,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1357-256844.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1358,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1358-369559.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1359,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1359-584919.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1360,"Theme: travel classification regression-suite multi-hop en-us; 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: 1360-549262.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1361,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1361-801974.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1362,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1362-346712.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1363,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1363-781422.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1364,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1364-698418.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1365,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 1365-931939.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1366,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 1366-148868.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1367,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1367-351414.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1368,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1368-693083.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1369,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1369-843034.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1370,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1370-406720.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1371,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1371-364954.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1372,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1372-486331.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1373,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1373-639274.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1374,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1374-623845.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1375,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1375-503423.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1376,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1376-641786.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1377,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1377-890789.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1378,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1378-254382.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1379,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1379-578344.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1380,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1380-855292.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1381,"Theme: travel classification regression-suite multi-hop en-us; 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: 1381-665870.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1382,"Theme: travel classification regression-suite multi-hop en-us; 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: 1382-822452.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1383,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 1383-260383.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1384,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1384-567348.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1385,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1385-125043.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1386,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1386-768181.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1387,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1387-249956.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1388,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1388-324210.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1389,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 1389-777625.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1390,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1390-195709.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1391,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1391-258933.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1392,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1392-660427.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1393,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1393-327280.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1394,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1394-323403.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1395,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1395-547152.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1396,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1396-730739.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1397,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1397-162844.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1398,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1398-967006.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1399,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1399-207808.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1400,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1400-431967.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1401,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1401-419744.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1402,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1402-365010.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1403,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1403-635375.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1404,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1404-985512.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1405,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1405-210532.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1406,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1406-673090.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1407,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1407-132390.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1408,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1408-288257.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1409,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1409-344606.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1410,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1410-755414.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1411,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 1411-799203.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1412,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1412-960002.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1413,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1413-110622.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1414,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 1414-330995.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1415,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1415-297699.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1416,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1416-596988.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1417,"Theme: travel classification regression-suite multi-hop en-us; 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: 1417-320112.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1418,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1418-344577.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1419,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1419-520688.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1420,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 1420-973934.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1421,"Theme: travel classification regression-suite multi-hop en-us; 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: 1421-177153.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1422,"Theme: travel classification regression-suite multi-hop en-us; 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: 1422-279049.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1423,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1423-844735.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1424,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1424-159175.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1425,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1425-454109.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1426,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1426-107048.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1427,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1427-816021.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1428,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1428-831707.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1429,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1429-385370.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1430,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1430-662883.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1431,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1431-562069.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1432,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1432-584237.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1433,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1433-640790.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1434,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1434-867937.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1435,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1435-469969.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1436,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1436-112090.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1437,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1437-200882.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1438,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1438-474925.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1439,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1439-290584.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1440,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 1440-973084.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1441,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 1441-538531.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1442,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1442-402313.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1443,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 1443-630872.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1444,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 1444-232212.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1445,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 1445-242058.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1446,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1446-201524.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1447,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1447-680813.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1448,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1448-376951.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1449,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1449-634778.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1450,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1450-769269.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1451,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 1451-786954.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1452,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1452-485985.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1453,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1453-295248.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1454,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1454-845710.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1455,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1455-429529.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1456,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1456-465983.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1457,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1457-796809.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1458,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1458-743651.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1459,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1459-942384.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1460,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1460-549480.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1461,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 1461-851688.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1462,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1462-904388.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1463,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1463-703398.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1464,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1464-172140.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1465,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1465-423331.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1466,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 1466-920654.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1467,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1467-574909.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1468,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1468-101686.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1469,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1469-381958.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1470,"Theme: travel classification regression-suite multi-hop en-us; 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: 1470-825232.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1471,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1471-453857.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1472,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1472-158492.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1473,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1473-298101.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1474,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1474-869358.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1475,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1475-253034.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1476,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1476-452489.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1477,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1477-900249.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1478,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1478-429324.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1479,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1479-978697.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1480,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1480-147913.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1481,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1481-240596.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1482,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1482-627092.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1483,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1483-743544.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1484,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1484-588173.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1485,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1485-148492.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1486,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1486-545252.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1487,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1487-833703.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1488,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1488-302947.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1489,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1489-196419.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1490,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1490-128154.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1491,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1491-713433.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1492,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1492-464920.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1493,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1493-394183.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1494,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1494-837997.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1495,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1495-873013.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1496,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1496-963946.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1497,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1497-809959.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1498,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 1498-464099.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1499,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 1499-411648.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
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+1501,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1501-362047.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
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+1503,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1503-164184.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1504,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 1504-598758.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
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+1508,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1508-960156.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1509,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1509-403556.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1510,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1510-728958.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1511,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1511-462536.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1512,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1512-233659.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1513,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1513-158788.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1514,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1514-894654.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1515,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1515-424846.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1516,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1516-178079.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1517,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1517-615181.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1518,"Theme: travel classification regression-suite multi-hop en-us; 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: 1518-927040.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1519,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1519-274183.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1520,"Theme: travel classification regression-suite multi-hop en-us; 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: 1520-228905.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1521,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1521-958696.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1522,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1522-661337.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1523,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1523-365976.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1524,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1524-308691.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1525,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1525-309549.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1526,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1526-494856.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1527,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1527-198149.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1528,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1528-101512.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1529,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1529-757383.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1530,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1530-741886.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1531,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1531-565335.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1532,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1532-978903.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1533,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1533-785672.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1534,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1534-434452.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1535,"Theme: travel classification regression-suite multi-hop en-us; 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: 1535-269341.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1536,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1536-551910.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1537,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1537-629996.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1538,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1538-123370.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1539,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1539-515650.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1540,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1540-736656.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1541,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1541-240738.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1542,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1542-210690.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1543,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1543-994685.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1544,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1544-449842.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1545,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1545-701749.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1546,"Theme: travel classification regression-suite multi-hop en-us; 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: 1546-822593.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1547,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1547-550168.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1548,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1548-194384.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1549,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 1549-111742.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1550,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1550-328601.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1551,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1551-190360.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1552,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1552-207941.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1553,"Theme: travel classification regression-suite multi-hop en-us; 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: 1553-732348.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1554,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1554-524863.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1555,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1555-792578.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1556,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 1556-668001.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1557,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1557-182119.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1558,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1558-951828.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1559,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1559-191421.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1560,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1560-579607.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1561,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1561-409297.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1562,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1562-353223.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1563,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1563-454837.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1564,"Theme: travel classification regression-suite multi-hop en-us; 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: 1564-386088.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1565,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1565-850252.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1566,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1566-936160.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1567,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1567-275885.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1568,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1568-828558.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1569,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1569-442933.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1570,"Theme: travel classification regression-suite multi-hop en-us; 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: 1570-468522.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1571,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1571-767013.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1572,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1572-745803.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1573,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1573-285838.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1574,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1574-505772.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1575,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1575-777067.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1576,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1576-566662.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1577,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1577-661368.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1578,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1578-593675.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1579,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1579-835098.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1580,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1580-739232.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1581,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1581-789177.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1582,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1582-394148.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1583,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1583-237783.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1584,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1584-308643.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1585,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1585-108496.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1586,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1586-194773.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1587,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1587-804392.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1588,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 1588-185506.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1589,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 1589-414174.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1590,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 1590-688288.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1591,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1591-598912.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1592,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1592-708008.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1593,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1593-974140.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1594,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1594-526354.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1595,"Theme: travel classification regression-suite multi-hop en-us; 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: 1595-591483.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1596,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1596-595312.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1597,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1597-894065.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1598,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1598-375044.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1599,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1599-729154.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1600,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1600-517031.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1601,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1601-389171.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1602,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1602-660545.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1603,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1603-714796.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1604,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1604-109342.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1605,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1605-644950.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1606,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1606-400119.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1607,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1607-728102.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1608,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1608-469359.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1609,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1609-833525.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1610,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1610-128585.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1611,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1611-867267.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1612,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1612-532195.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1613,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1613-824246.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1614,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1614-625605.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1615,"Theme: travel classification regression-suite multi-hop en-us; 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: 1615-499916.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1616,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1616-715532.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1617,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1617-442831.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1618,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1618-259566.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1619,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1619-175688.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1620,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1620-458258.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1621,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1621-594998.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1622,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1622-149740.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1623,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1623-838355.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1624,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1624-924002.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1625,"Theme: travel classification regression-suite multi-hop en-us; 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: 1625-651268.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1626,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1626-133793.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1627,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1627-182167.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1628,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1628-175390.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1629,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1629-656316.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1630,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1630-512167.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1631,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 1631-978221.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1632,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1632-120599.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1633,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1633-885091.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1634,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1634-125203.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1635,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1635-974114.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1636,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 1636-646375.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1637,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1637-101208.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1638,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1638-393876.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1639,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 1639-457616.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1640,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1640-278215.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1641,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1641-650382.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1642,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1642-227549.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1643,"Theme: travel classification regression-suite multi-hop en-us; 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: 1643-401459.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1644,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1644-209003.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1645,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 1645-629918.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1646,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1646-109950.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1647,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1647-645654.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1648,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 1648-335629.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1649,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1649-288109.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1650,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1650-321521.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1651,"Theme: travel classification regression-suite multi-hop en-us; 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: 1651-450844.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1652,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1652-185278.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1653,"Theme: travel classification regression-suite multi-hop en-us; 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: 1653-456957.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1654,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1654-440237.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1655,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1655-243381.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1656,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1656-922971.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1657,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1657-249783.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1658,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1658-650091.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1659,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 1659-327991.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1660,"Theme: travel classification regression-suite multi-hop en-us; 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: 1660-237334.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1661,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 1661-105077.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1662,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1662-241482.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1663,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1663-494378.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1664,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1664-109974.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1665,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1665-756293.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1666,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1666-830423.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1667,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 1667-858291.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1668,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1668-511634.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1669,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1669-856421.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1670,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1670-798447.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1671,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1671-124871.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1672,"Theme: travel classification regression-suite multi-hop en-us; 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: 1672-611163.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1673,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1673-563212.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1674,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1674-424648.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1675,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 1675-702975.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1676,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 1676-127464.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1677,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1677-471532.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1678,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1678-717354.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1679,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1679-135760.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1680,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1680-881615.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1681,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1681-426748.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1682,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 1682-219904.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1683,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1683-807817.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1684,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1684-911130.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1685,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1685-402474.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1686,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1686-589191.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1687,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1687-443021.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1688,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1688-677057.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1689,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1689-212027.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1690,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1690-915008.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1691,"Theme: travel classification regression-suite multi-hop en-us; 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: 1691-833848.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1692,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1692-461438.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1693,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1693-209247.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
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+1695,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1695-915930.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1696,"Theme: travel classification regression-suite multi-hop en-us; 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: 1696-824788.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
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+1698,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 1698-712583.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1699,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1699-499768.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1700,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1700-197880.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1701,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1701-102220.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1702,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1702-960310.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1703,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1703-328062.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
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+1705,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1705-899679.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1706,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1706-119488.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1707,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 1707-543893.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1708,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1708-794345.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1709,"Theme: travel classification regression-suite multi-hop en-us; 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: 1709-121932.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1710,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1710-525579.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1711,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1711-760948.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1712,"Theme: travel classification regression-suite multi-hop en-us; 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: 1712-696192.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1713,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1713-833302.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1714,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1714-261952.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1715,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1715-785088.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1716,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1716-549197.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1717,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1717-178061.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1718,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 1718-395139.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1719,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 1719-460945.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1720,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1720-195801.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1721,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1721-501866.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1722,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1722-898001.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1723,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1723-131067.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1724,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1724-560030.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1725,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1725-394778.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1726,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1726-924499.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1727,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1727-204587.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1728,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1728-675518.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1729,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1729-406508.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1730,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1730-813347.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1731,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1731-530684.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1732,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1732-712863.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1733,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1733-642120.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1734,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1734-948167.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1735,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1735-247903.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1736,"Theme: travel classification regression-suite multi-hop en-us; 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: 1736-102870.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1737,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1737-427359.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1738,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1738-180278.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1739,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1739-171691.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1740,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1740-766824.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1741,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1741-397096.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1742,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1742-678064.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1743,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1743-409808.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1744,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1744-777388.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1745,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1745-213997.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1746,"Theme: travel classification regression-suite multi-hop en-us; 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: 1746-125152.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1747,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1747-627502.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1748,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1748-369135.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1749,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1749-394083.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1750,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1750-606325.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1751,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1751-152046.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1752,"Theme: travel classification regression-suite multi-hop en-us; 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: 1752-547735.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1753,"Theme: travel classification regression-suite multi-hop en-us; 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: 1753-644644.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1754,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1754-562050.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1755,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1755-496689.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1756,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1756-490834.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1757,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1757-101686.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1758,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1758-263710.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1759,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 1759-267145.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
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+1761,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1761-818490.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1762,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1762-878963.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1763,"Theme: travel classification regression-suite multi-hop en-us; 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: 1763-346786.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
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+1765,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1765-840466.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1766,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1766-601067.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1767,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1767-372624.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1768,"Theme: travel classification regression-suite multi-hop en-us; 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: 1768-938306.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1769,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1769-766113.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1770,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1770-660869.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1771,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1771-431519.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1772,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1772-177097.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1773,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1773-781778.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1774,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1774-998293.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1775,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1775-950405.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1776,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1776-977845.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1777,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1777-180838.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1778,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 1778-109397.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1779,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1779-256961.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1780,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1780-135433.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1781,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1781-763220.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1782,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1782-277081.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1783,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1783-206883.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1784,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1784-632318.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1785,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1785-914502.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1786,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1786-337401.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1787,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1787-514637.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1788,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1788-554178.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1789,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1789-377036.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1790,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1790-150558.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1791,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1791-843900.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1792,"Theme: travel classification regression-suite multi-hop en-us; 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: 1792-444010.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1793,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1793-166540.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1794,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1794-815226.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1795,"Theme: travel classification regression-suite multi-hop en-us; 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: 1795-593462.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1796,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1796-328360.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1797,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1797-912185.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1798,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1798-889316.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1799,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1799-849614.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1800,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 1800-864821.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1801,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1801-561554.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1802,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1802-189139.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1803,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1803-302080.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1804,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1804-368157.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1805,"Theme: travel classification regression-suite multi-hop en-us; 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: 1805-305240.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1806,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1806-299539.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1807,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1807-627179.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1808,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1808-595380.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1809,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1809-869043.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1810,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1810-554498.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1811,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1811-778448.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1812,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1812-549124.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1813,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1813-300673.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1814,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 1814-741096.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1815,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1815-115549.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1816,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1816-808921.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1817,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1817-560585.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1818,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1818-938853.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1819,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 1819-388096.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1820,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1820-886029.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1821,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 1821-178617.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1822,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1822-394214.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1823,"Theme: travel classification regression-suite multi-hop en-us; 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: 1823-792541.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1824,"Theme: travel classification regression-suite multi-hop en-us; 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: 1824-193419.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1825,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1825-307099.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1826,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1826-823272.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1827,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 1827-946354.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1828,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1828-562499.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1829,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1829-711778.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1830,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1830-713878.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1831,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1831-772770.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1832,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1832-997699.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1833,"Theme: travel classification regression-suite multi-hop en-us; 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: 1833-903821.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1834,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1834-863233.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1835,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 1835-279281.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1836,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1836-977779.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1837,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1837-615465.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1838,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1838-728624.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1839,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1839-373614.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1840,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1840-639500.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1841,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1841-324473.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1842,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1842-913958.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1843,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1843-639322.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1844,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1844-502333.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1845,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1845-299760.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1846,"Theme: travel classification regression-suite multi-hop en-us; 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: 1846-513178.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1847,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1847-892645.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1848,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1848-183183.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1849,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 1849-368238.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1850,"Theme: travel classification regression-suite multi-hop en-us; 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: 1850-350623.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1851,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1851-956618.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1852,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1852-450069.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1853,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1853-721170.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1854,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1854-179581.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1855,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1855-965316.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1856,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1856-379030.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1857,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1857-237955.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1858,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1858-573810.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1859,"Theme: travel classification regression-suite multi-hop en-us; 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: 1859-612533.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1860,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1860-818978.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1861,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 1861-486794.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1862,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1862-993635.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1863,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1863-602685.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1864,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1864-218345.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1865,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1865-287360.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1866,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1866-601200.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1867,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1867-723503.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1868,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1868-900456.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1869,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1869-237957.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1870,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1870-397509.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1871,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1871-104265.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1872,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1872-664172.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1873,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1873-508265.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1874,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1874-844456.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1875,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1875-695597.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1876,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1876-580668.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1877,"Theme: travel classification regression-suite multi-hop en-us; 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: 1877-509358.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1878,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1878-174228.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1879,"Theme: travel classification regression-suite multi-hop en-us; 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: 1879-621588.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1880,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1880-859732.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1881,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1881-828404.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1882,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1882-780049.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1883,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1883-885401.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1884,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1884-283947.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1885,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1885-454593.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1886,"Theme: travel classification regression-suite multi-hop en-us; 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: 1886-699952.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1887,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1887-729498.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1888,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1888-159147.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1889,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1889-530072.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1890,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1890-780920.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1891,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1891-545020.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1892,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1892-124160.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1893,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 1893-849688.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1894,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 1894-535301.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1895,"Theme: travel classification regression-suite multi-hop en-us; 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: 1895-330611.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1896,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1896-251212.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1897,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1897-498790.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1898,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1898-793558.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1899,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 1899-821380.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1900,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1900-538432.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1901,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1901-781655.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1902,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1902-232992.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1903,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1903-793702.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1904,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1904-656045.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1905,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1905-221600.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1906,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1906-271981.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1907,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1907-297903.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1908,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1908-901112.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1909,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1909-954831.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1910,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1910-888282.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1911,"Theme: travel classification regression-suite multi-hop en-us; 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: 1911-976284.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1912,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1912-408724.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1913,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1913-101273.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1914,"Theme: travel classification regression-suite multi-hop en-us; 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: 1914-936877.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1915,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1915-386824.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1916,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1916-809971.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1917,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1917-616793.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1918,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1918-254932.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1919,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1919-909684.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1920,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1920-714538.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1921,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 1921-804383.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1922,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1922-435274.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1923,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1923-519457.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1924,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1924-510102.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1925,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1925-906355.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1926,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1926-146915.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1927,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1927-136672.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1928,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1928-834135.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1929,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1929-812810.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1930,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1930-219554.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1931,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1931-818398.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1932,"Theme: travel classification regression-suite multi-hop en-us; 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: 1932-889023.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1933,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 1933-865223.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1934,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1934-849724.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1935,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1935-642120.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1936,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 1936-702854.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1937,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1937-342660.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1938,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1938-103297.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1939,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1939-226649.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1940,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 1940-450566.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1941,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 1941-631116.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1942,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1942-292635.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1943,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1943-125803.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1944,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1944-908135.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1945,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1945-145615.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1946,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1946-845620.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1947,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1947-263430.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1948,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1948-977830.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1949,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1949-950720.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1950,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1950-748786.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1951,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1951-531908.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1952,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1952-843025.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1953,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1953-461807.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1954,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 1954-342768.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1955,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1955-267418.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1956,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1956-545118.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1957,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1957-844371.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1958,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1958-790063.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1959,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1959-250969.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1960,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1960-260765.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1961,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1961-677502.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1962,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1962-943187.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1963,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1963-242903.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1964,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1964-871526.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1965,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1965-526506.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1966,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1966-288505.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1967,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1967-184557.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1968,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1968-828758.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1969,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1969-824899.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1970,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1970-145461.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1971,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1971-351665.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1972,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1972-818427.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1973,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1973-359439.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1974,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1974-453248.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1975,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1975-823072.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1976,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 1976-783939.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1977,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1977-699060.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1978,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 1978-689831.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1979,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1979-666525.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1980,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1980-801170.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1981,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1981-265465.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1982,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1982-101983.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1983,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1983-978591.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1984,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1984-793195.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1985,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1985-414475.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1986,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1986-368175.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1987,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1987-657732.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+1988,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1988-670131.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1989,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1989-485367.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1990,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1990-319506.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1991,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1991-901921.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1992,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1992-598147.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1993,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1993-792495.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+1994,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1994-909283.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+1995,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1995-665622.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+1996,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1996-805451.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1997,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1997-504873.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1998,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1998-433776.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+1999,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1999-447936.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2000,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2000-518305.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2001,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2001-164220.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2002,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2002-717573.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2003,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2003-683510.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2004,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2004-976415.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2005,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2005-723814.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2006,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2006-642308.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2007,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2007-572829.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2008,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2008-356229.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2009,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2009-267108.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2010,"Theme: travel classification regression-suite multi-hop en-us; 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: 2010-512277.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2011,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2011-177641.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2012,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2012-885886.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2013,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2013-185499.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2014,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2014-512352.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2015,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2015-669942.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2016,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2016-390703.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2017,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2017-759304.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2018,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2018-300442.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2019,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2019-992284.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2020,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2020-252039.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2021,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2021-758741.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2022,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2022-221147.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2023,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2023-271724.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2024,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2024-425915.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2025,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2025-549829.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2026,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2026-808657.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2027,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2027-767708.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2028,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2028-398576.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2029,"Theme: travel classification regression-suite multi-hop en-us; 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: 2029-864578.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2030,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2030-550713.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2031,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2031-425234.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2032,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 2032-675423.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2033,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 2033-749825.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2034,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2034-546545.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2035,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2035-982241.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2036,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2036-132437.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2037,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2037-967998.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2038,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2038-361277.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2039,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2039-554398.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2040,"Theme: travel classification regression-suite multi-hop en-us; 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: 2040-846530.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2041,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 2041-791546.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2042,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 2042-160562.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2043,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 2043-994015.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2044,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2044-414558.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2045,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2045-828822.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2046,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2046-389559.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2047,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2047-198224.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2048,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2048-395513.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2049,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2049-882748.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2050,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2050-504538.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2051,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2051-490231.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2052,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2052-543436.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2053,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2053-274201.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2054,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2054-151033.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2055,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2055-313399.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2056,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2056-517762.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2057,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2057-560389.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2058,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2058-995623.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2059,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2059-719022.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2060,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2060-474789.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2061,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2061-747676.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2062,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2062-942945.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2063,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2063-183237.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2064,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2064-149619.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2065,"Theme: travel classification regression-suite multi-hop en-us; 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: 2065-671066.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2066,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2066-118823.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2067,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2067-267331.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2068,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2068-186897.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2069,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2069-524061.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2070,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 2070-157041.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2071,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2071-266581.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2072,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2072-642040.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2073,"Theme: travel classification regression-suite multi-hop en-us; 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: 2073-819776.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2074,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2074-127836.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2075,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2075-906857.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2076,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2076-708976.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2077,"Theme: travel classification regression-suite multi-hop en-us; 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: 2077-381645.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2078,"Theme: travel classification regression-suite multi-hop en-us; 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: 2078-872402.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2079,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2079-597688.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2080,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2080-770594.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2081,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2081-492971.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2082,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2082-665324.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2083,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2083-389311.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
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+2101,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2101-548325.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2102,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2102-446879.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2103,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2103-936613.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2104,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2104-149326.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2105,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2105-352013.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2106,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2106-708028.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2107,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2107-558987.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2108,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2108-215868.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2109,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2109-600002.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2110,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2110-833928.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2111,"Theme: travel classification regression-suite multi-hop en-us; 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: 2111-943179.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2112,"Theme: travel classification regression-suite multi-hop en-us; 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: 2112-965961.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2113,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2113-220126.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2114,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2114-605752.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2115,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2115-673438.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2116,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 2116-267511.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2117,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2117-982556.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2118,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2118-319818.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2119,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2119-152152.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2120,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2120-499413.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2121,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2121-374881.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2122,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2122-387825.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2123,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2123-978876.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2124,"Theme: travel classification regression-suite multi-hop en-us; 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: 2124-704871.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2125,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2125-221646.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2126,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2126-184202.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2127,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2127-428464.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2128,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2128-605676.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2129,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2129-642763.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2130,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2130-382382.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2131,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2131-687157.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2132,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2132-148228.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2133,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 2133-957306.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2134,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2134-270983.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2135,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2135-686936.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2136,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2136-316603.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2137,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2137-278407.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2138,"Theme: travel classification regression-suite multi-hop en-us; 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: 2138-993229.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2139,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2139-525438.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2140,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2140-912307.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2141,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2141-528216.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2142,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2142-221062.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2143,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2143-515220.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2144,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2144-612368.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2145,"Theme: travel classification regression-suite multi-hop en-us; 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: 2145-153746.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2146,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2146-255564.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2147,"Theme: travel classification regression-suite multi-hop en-us; 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: 2147-273716.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2148,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2148-376142.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2149,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2149-564032.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2150,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2150-579382.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2151,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2151-938880.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2152,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2152-726475.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2153,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2153-634761.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2154,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 2154-887655.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2155,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2155-812616.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2156,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 2156-292797.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2157,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2157-790393.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2158,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2158-885250.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2159,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2159-578714.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2160,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2160-320729.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2161,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2161-629225.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2162,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2162-410359.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2163,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2163-330022.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2164,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2164-611407.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2165,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2165-503585.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2166,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2166-598311.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2167,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2167-802483.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2168,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2168-161000.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2169,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2169-952380.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2170,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2170-928380.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2171,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2171-485266.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2172,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2172-165192.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2173,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2173-442614.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2174,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2174-571478.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2175,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2175-123671.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2176,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2176-262681.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2177,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2177-178137.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2178,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2178-305582.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2179,"Theme: travel classification regression-suite multi-hop en-us; 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: 2179-923814.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2180,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 2180-392775.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2181,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2181-897474.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2182,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2182-912858.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2183,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2183-284301.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2184,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 2184-481717.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2185,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2185-133758.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2186,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2186-158004.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2187,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2187-671644.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2188,"Theme: travel classification regression-suite multi-hop en-us; 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: 2188-348204.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2189,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2189-709741.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2190,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2190-572871.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2191,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2191-808774.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2192,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2192-907323.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2193,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2193-908528.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2194,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2194-629733.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2195,"Theme: travel classification regression-suite multi-hop en-us; 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: 2195-619382.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2196,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2196-610748.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2197,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2197-487863.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2198,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2198-325830.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2199,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2199-608469.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2200,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 2200-649684.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2201,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2201-899750.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2202,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2202-984476.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2203,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2203-934249.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2204,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2204-252926.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2205,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 2205-435462.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2206,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2206-727905.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2207,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2207-389896.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2208,"Theme: travel classification regression-suite multi-hop en-us; 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: 2208-307397.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2209,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2209-379423.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2210,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2210-865349.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2211,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2211-872434.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2212,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2212-889441.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2213,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2213-768116.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2214,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2214-219301.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2215,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2215-271862.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2216,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2216-486108.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2217,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2217-374760.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2218,"Theme: travel classification regression-suite multi-hop en-us; 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: 2218-967687.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2219,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2219-653296.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2220,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2220-267534.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
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+2222,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2222-472399.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2223,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2223-689270.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2224,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2224-310278.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2225,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2225-574068.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2226,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2226-332723.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2227,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2227-548244.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2228,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2228-195475.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2229,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2229-453480.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2230,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2230-573173.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2231,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 2231-864472.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2232,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2232-105545.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2233,"Theme: travel classification regression-suite multi-hop en-us; 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: 2233-174595.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2234,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2234-101387.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2235,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2235-667175.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2236,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2236-346155.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2237,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2237-650447.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2238,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2238-860411.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2239,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2239-762439.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2240,"Theme: travel classification regression-suite multi-hop en-us; 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: 2240-483884.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2241,"Theme: travel classification regression-suite multi-hop en-us; 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: 2241-631347.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2242,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2242-224486.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2243,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 2243-301078.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2244,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2244-403233.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2245,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2245-178300.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2246,"Theme: travel classification regression-suite multi-hop en-us; 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: 2246-881454.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2247,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2247-173100.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2248,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2248-480583.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2249,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2249-878480.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2250,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2250-536420.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2251,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2251-311777.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2252,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2252-870394.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2253,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2253-733070.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2254,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 2254-757368.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2255,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2255-643946.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2256,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 2256-458740.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2257,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2257-912697.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
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+2259,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2259-801964.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2260,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2260-582773.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2261,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2261-433655.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2262,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2262-358807.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2263,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2263-613263.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2264,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2264-279066.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2265,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2265-640502.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2266,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2266-294891.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2267,"Theme: travel classification regression-suite multi-hop en-us; 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: 2267-770251.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2268,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2268-721520.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2269,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2269-776470.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2270,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2270-169354.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2271,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2271-201112.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2272,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2272-642295.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2273,"Theme: travel classification regression-suite multi-hop en-us; 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: 2273-188773.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2274,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2274-642871.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2275,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2275-185872.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2276,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2276-448542.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2277,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2277-346546.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2278,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2278-616391.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
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+2281,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2281-337332.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
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+2288,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2288-954584.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
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+2293,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2293-884953.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2294,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2294-757331.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2295,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2295-221955.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2296,"Theme: travel classification regression-suite multi-hop en-us; 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: 2296-252687.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2297,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2297-874207.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2298,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2298-757848.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2299,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 2299-368795.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2300,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2300-276433.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2301,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2301-163602.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2302,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2302-771388.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2303,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 2303-974591.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2304,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2304-927570.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2305,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2305-690315.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2306,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2306-671097.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2307,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2307-452686.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2308,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2308-407485.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2309,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2309-137875.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2310,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 2310-307840.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2311,"Theme: travel classification regression-suite multi-hop en-us; 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: 2311-597346.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2312,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2312-390949.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2313,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2313-329323.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2314,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2314-314617.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2315,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2315-452785.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2316,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2316-559155.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2317,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2317-708085.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2318,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2318-797740.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
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+2320,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 2320-898830.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2321,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2321-189619.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2322,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2322-137107.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2323,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2323-562740.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2324,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2324-728563.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2325,"Theme: travel classification regression-suite multi-hop en-us; 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: 2325-977373.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2326,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2326-191839.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2327,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2327-288581.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2328,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2328-649147.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2329,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2329-604549.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2330,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2330-912737.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2331,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 2331-946959.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2332,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 2332-385532.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2333,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 2333-318978.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2334,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2334-316781.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2335,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2335-906953.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2336,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2336-422442.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2337,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2337-274727.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2338,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2338-982155.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2339,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2339-380193.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2340,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2340-202000.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2341,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2341-757709.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2342,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2342-692911.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2343,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2343-839793.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2344,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2344-992162.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2345,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2345-126480.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2346,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2346-240088.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2347,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2347-984661.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2348,"Theme: travel classification regression-suite multi-hop en-us; 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: 2348-499209.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2349,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2349-297907.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2350,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2350-385579.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2351,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2351-505326.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2352,"Theme: travel classification regression-suite multi-hop en-us; 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: 2352-538550.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2353,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2353-925876.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2354,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2354-445184.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2355,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2355-680516.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2356,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2356-298994.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2357,"Theme: travel classification regression-suite multi-hop en-us; 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: 2357-194257.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2358,"Theme: travel classification regression-suite multi-hop en-us; 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: 2358-325900.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2359,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2359-833036.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2360,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2360-147460.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2361,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2361-183192.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2362,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2362-211444.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2363,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2363-951426.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2364,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2364-606344.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2365,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2365-624558.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2366,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2366-419683.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2367,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2367-797260.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2368,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2368-823714.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2369,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2369-305366.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2370,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2370-903077.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2371,"Theme: travel classification regression-suite multi-hop en-us; 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: 2371-801278.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2372,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2372-485992.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2373,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 2373-619937.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2374,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2374-189429.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2375,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2375-428944.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2376,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2376-226630.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2377,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2377-840709.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2378,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2378-151488.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2379,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2379-259814.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2380,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2380-194003.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2381,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2381-730792.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2382,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2382-450078.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2383,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2383-925015.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2384,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2384-767099.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2385,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2385-980183.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2386,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2386-815029.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2387,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2387-120528.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2388,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2388-398197.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2389,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2389-959115.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2390,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2390-905628.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2391,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2391-131846.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2392,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2392-987474.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2393,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2393-235254.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2394,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2394-595938.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2395,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2395-450132.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2396,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2396-268273.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2397,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2397-132108.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2398,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 2398-695493.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2399,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2399-739213.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2400,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2400-308382.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2401,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2401-404977.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2402,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2402-454014.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2403,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2403-159544.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2404,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2404-845901.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2405,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2405-613809.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2406,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2406-893121.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2407,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2407-711216.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2408,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2408-595410.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2409,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2409-210209.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2410,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 2410-397247.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2411,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2411-646875.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2412,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2412-452668.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2413,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2413-410314.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2414,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2414-271662.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2415,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2415-612717.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2416,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 2416-165405.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2417,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2417-312098.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2418,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 2418-976128.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2419,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2419-854166.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2420,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2420-613952.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2421,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2421-631055.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2422,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2422-670542.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2423,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 2423-828906.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2424,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2424-881991.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2425,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2425-127870.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2426,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2426-825714.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2427,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2427-522004.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2428,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2428-399252.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2429,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2429-328621.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2430,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2430-885986.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2431,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2431-661496.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2432,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2432-696117.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2433,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 2433-764852.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2434,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2434-100541.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2435,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2435-929906.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2436,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 2436-445576.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2437,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2437-638112.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2438,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2438-388648.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2439,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2439-929888.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2440,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2440-111408.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2441,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2441-450158.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2442,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2442-598726.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2443,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2443-101433.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2444,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2444-207042.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2445,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2445-955807.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2446,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2446-508757.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2447,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2447-172733.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2448,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2448-676134.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2449,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2449-925589.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2450,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2450-217420.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2451,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2451-205152.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2452,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2452-788380.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2453,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2453-732202.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2454,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2454-264468.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2455,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2455-190020.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2456,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2456-469968.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2457,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2457-408475.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2458,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2458-245307.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2459,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2459-511274.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2460,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2460-214759.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2461,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2461-415570.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2462,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2462-937089.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2463,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 2463-964882.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2464,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2464-184054.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2465,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2465-603626.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2466,"Theme: travel classification regression-suite multi-hop en-us; 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: 2466-915470.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2467,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2467-461362.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2468,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2468-978863.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2469,"Theme: travel classification regression-suite multi-hop en-us; 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: 2469-344276.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2470,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2470-554039.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2471,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2471-475642.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2472,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2472-736804.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2473,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2473-528321.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2474,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 2474-826009.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2475,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2475-151023.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2476,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2476-408895.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2477,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2477-205534.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2478,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2478-691631.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2479,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2479-676366.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2480,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2480-237276.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2481,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2481-759516.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2482,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2482-678278.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2483,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2483-436549.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2484,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2484-116265.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2485,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2485-559387.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2486,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2486-992059.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2487,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2487-857640.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2488,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2488-517266.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2489,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2489-415501.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2490,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2490-880254.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2491,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2491-177771.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2492,"Theme: travel classification regression-suite multi-hop en-us; 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: 2492-298743.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2493,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2493-678170.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2494,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2494-515823.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2495,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2495-389527.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2496,"Theme: travel classification regression-suite multi-hop en-us; 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: 2496-970295.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2497,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2497-111776.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2498,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2498-182893.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2499,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2499-127316.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2500,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2500-618414.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2501,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2501-999328.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2502,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2502-818786.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2503,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2503-393169.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2504,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2504-357534.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2505,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2505-698175.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2506,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2506-985910.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2507,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2507-487570.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2508,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 2508-217145.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2509,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2509-848893.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2510,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2510-957873.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2511,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2511-677002.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2512,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2512-110308.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2513,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2513-814982.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2514,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2514-409069.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2515,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2515-248355.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2516,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2516-586132.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2517,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2517-440631.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2518,"Theme: travel classification regression-suite multi-hop en-us; 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: 2518-390338.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2519,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2519-389920.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2520,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2520-933906.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2521,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2521-759842.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2522,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2522-881005.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2523,"Theme: travel classification regression-suite multi-hop en-us; 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: 2523-854756.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2524,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2524-916829.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2525,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2525-853786.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2526,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 2526-424307.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2527,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2527-478558.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2528,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2528-869103.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2529,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2529-505461.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2530,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2530-750645.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2531,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2531-298789.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2532,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2532-960352.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2533,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2533-322831.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2534,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2534-999765.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2535,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2535-427161.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2536,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 2536-634821.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2537,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2537-779971.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2538,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2538-370691.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2539,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2539-591546.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
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+2541,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2541-260681.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2542,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2542-388872.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2543,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2543-996290.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2544,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2544-925099.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2545,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2545-721670.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2546,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2546-197510.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
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+2548,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2548-416324.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
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+2550,"Theme: travel classification regression-suite multi-hop en-us; 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: 2550-456016.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2551,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2551-940493.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2552,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2552-723457.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2553,"Theme: travel classification regression-suite multi-hop en-us; 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: 2553-700552.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2554,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2554-667118.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2555,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2555-988398.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2556,"Theme: travel classification regression-suite multi-hop en-us; 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: 2556-152221.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2557,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2557-665096.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2558,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2558-115101.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2559,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2559-488355.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2560,"Theme: travel classification regression-suite multi-hop en-us; 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: 2560-675156.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2561,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2561-508774.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2562,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2562-370594.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2563,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 2563-968989.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2564,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 2564-603675.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2565,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2565-102592.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2566,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2566-724800.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2567,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2567-432101.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2568,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2568-667324.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2569,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2569-865401.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2570,"Theme: travel classification regression-suite multi-hop en-us; 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: 2570-242252.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2571,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2571-173061.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2572,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2572-820471.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2573,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2573-470307.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2574,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2574-992342.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2575,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2575-374036.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2576,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2576-260545.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2577,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2577-617176.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2578,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 2578-536618.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2579,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2579-937105.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2580,"Theme: travel classification regression-suite multi-hop en-us; 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: 2580-677837.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2581,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2581-503054.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2582,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2582-423047.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2583,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2583-126743.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2584,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2584-226674.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2585,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 2585-425919.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2586,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2586-794616.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2587,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2587-227838.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2588,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2588-392992.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2589,"Theme: travel classification regression-suite multi-hop en-us; 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: 2589-945900.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2590,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2590-902000.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2591,"Theme: travel classification regression-suite multi-hop en-us; 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: 2591-651783.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2592,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2592-371404.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2593,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 2593-528310.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2594,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2594-860237.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2595,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2595-735389.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2596,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2596-453940.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2597,"Theme: travel classification regression-suite multi-hop en-us; 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: 2597-522010.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2598,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2598-609082.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2599,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2599-676999.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2600,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2600-213179.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2601,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2601-199893.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2602,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2602-237087.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2603,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2603-359806.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2604,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2604-419054.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2605,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2605-156694.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2606,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2606-137763.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
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+2611,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2611-644077.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
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+2613,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2613-490281.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2614,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 2614-250194.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2615,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2615-352269.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2616,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2616-731264.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2617,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2617-720927.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2618,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2618-695198.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2619,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2619-282417.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2620,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2620-827970.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2621,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2621-996746.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2622,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2622-575399.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2623,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2623-392084.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2624,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2624-142160.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2625,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2625-538075.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2626,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2626-803350.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2627,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2627-596064.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2628,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2628-572425.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2629,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2629-195713.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2630,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2630-745748.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2631,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2631-426236.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2632,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2632-721454.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2633,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2633-404622.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2634,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2634-938918.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2635,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2635-634296.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2636,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2636-718749.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2637,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 2637-417104.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2638,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2638-313490.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2639,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2639-269427.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2640,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2640-767157.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2641,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2641-191540.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2642,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2642-227751.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2643,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2643-367891.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2644,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2644-315004.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2645,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2645-712287.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2646,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2646-976447.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2647,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2647-264482.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2648,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2648-738605.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2649,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2649-698922.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2650,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2650-684527.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2651,"Theme: travel classification regression-suite multi-hop en-us; 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: 2651-901895.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2652,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2652-428840.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2653,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2653-206779.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2654,"Theme: travel classification regression-suite multi-hop en-us; 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: 2654-610969.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2655,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2655-108643.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2656,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2656-248509.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2657,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2657-219025.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2658,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2658-422208.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2659,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2659-973222.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2660,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2660-980241.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2661,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2661-910917.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2662,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 2662-631501.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2663,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2663-783222.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2664,"Theme: travel classification regression-suite multi-hop en-us; 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: 2664-448302.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2665,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2665-253309.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2666,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2666-478022.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2667,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2667-462637.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2668,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2668-312045.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2669,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2669-187314.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2670,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2670-855771.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2671,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2671-129678.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2672,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2672-323897.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2673,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2673-360789.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2674,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2674-490999.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
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+2676,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2676-516809.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2677,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2677-902930.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2678,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2678-698060.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2679,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2679-743348.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2680,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2680-996537.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2681,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2681-953229.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2682,"Theme: travel classification regression-suite multi-hop en-us; 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: 2682-804048.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2683,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2683-566545.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2684,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2684-334863.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2685,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2685-944307.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2686,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2686-408842.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2687,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2687-630873.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2688,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2688-782954.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2689,"Theme: travel classification regression-suite multi-hop en-us; 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: 2689-432618.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2690,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2690-929874.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2691,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2691-447784.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2692,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2692-835620.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2693,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2693-662862.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2694,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2694-970571.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2695,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2695-399352.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2696,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2696-855132.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2697,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2697-253163.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2698,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 2698-692797.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2699,"Theme: travel classification regression-suite multi-hop en-us; 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: 2699-432222.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2700,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2700-573843.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2701,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2701-387669.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2702,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2702-875568.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2703,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2703-538194.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2704,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2704-926207.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2705,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2705-225739.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2706,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2706-912337.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2707,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2707-536836.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2708,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2708-587469.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2709,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2709-500496.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2710,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2710-811803.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2711,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 2711-197256.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2712,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2712-491769.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2713,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 2713-769821.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2714,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2714-973228.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2715,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2715-340230.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2716,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2716-440922.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2717,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2717-848048.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2718,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2718-805101.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2719,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2719-311435.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2720,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2720-477146.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2721,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2721-639311.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2722,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2722-666179.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2723,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 2723-179067.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2724,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2724-628990.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2725,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2725-790419.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2726,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2726-401430.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2727,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2727-764402.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2728,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2728-307066.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2729,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2729-813539.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2730,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2730-349156.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2731,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2731-989967.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2732,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2732-338836.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2733,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2733-687376.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2734,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2734-629421.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2735,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2735-774534.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2736,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2736-982378.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2737,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2737-513717.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2738,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2738-293988.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2739,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2739-509134.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2740,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2740-651924.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2741,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2741-182586.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2742,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2742-283514.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2743,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2743-965251.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2744,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2744-363780.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2745,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 2745-656357.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2746,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2746-579541.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2747,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2747-426203.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2748,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2748-680020.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2749,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2749-737132.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2750,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2750-852427.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2751,"Theme: travel classification regression-suite multi-hop en-us; 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: 2751-859722.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2752,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2752-696504.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2753,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2753-193843.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2754,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2754-500427.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2755,"Theme: travel classification regression-suite multi-hop en-us; 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: 2755-306557.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2756,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2756-678648.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2757,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2757-138978.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2758,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2758-463003.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2759,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2759-362484.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2760,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2760-517098.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2761,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2761-173511.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2762,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2762-694746.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2763,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2763-770148.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2764,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2764-738654.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2765,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2765-157313.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2766,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2766-861612.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2767,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2767-509428.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2768,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2768-873388.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2769,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2769-979635.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2770,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2770-102300.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2771,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2771-665144.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2772,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2772-695062.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2773,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2773-604010.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2774,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2774-835524.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2775,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2775-571596.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2776,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2776-188536.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2777,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2777-194429.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2778,"Theme: travel classification regression-suite multi-hop en-us; 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: 2778-136287.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2779,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2779-157628.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2780,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2780-427831.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2781,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2781-674096.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2782,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2782-754157.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2783,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2783-474829.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2784,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2784-361725.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2785,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2785-330588.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2786,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2786-624025.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2787,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2787-748367.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2788,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2788-351893.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2789,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2789-463482.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2790,"Theme: travel classification regression-suite multi-hop en-us; 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: 2790-619796.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2791,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2791-702763.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2792,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2792-695078.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2793,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2793-312827.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2794,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 2794-551918.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2795,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2795-709356.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2796,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2796-342919.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2797,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2797-331742.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2798,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2798-268183.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2799,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2799-991846.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2800,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2800-754115.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2801,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2801-645133.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2802,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2802-365097.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2803,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2803-569046.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2804,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2804-621564.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2805,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2805-367944.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2806,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2806-507404.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2807,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2807-713018.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2808,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2808-812586.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2809,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2809-325068.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2810,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2810-195508.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2811,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2811-530973.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2812,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2812-472585.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2813,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2813-508740.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2814,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2814-394239.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2815,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2815-733937.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2816,"Theme: travel classification regression-suite multi-hop en-us; 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: 2816-939111.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2817,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2817-628534.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2818,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2818-191883.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2819,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2819-600893.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2820,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2820-418514.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2821,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2821-492099.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2822,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2822-786292.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2823,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2823-369401.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2824,"Theme: travel classification regression-suite multi-hop en-us; 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: 2824-252664.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2825,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2825-859340.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2826,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2826-388484.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2827,"Theme: travel classification regression-suite multi-hop en-us; 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: 2827-632552.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2828,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2828-673499.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2829,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 2829-179617.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2830,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2830-972362.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2831,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2831-795236.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2832,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2832-348313.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2833,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2833-510498.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2834,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2834-625631.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2835,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2835-468811.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2836,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2836-289257.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2837,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2837-980912.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2838,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2838-366779.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2839,"Theme: travel classification regression-suite multi-hop en-us; 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: 2839-151144.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2840,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2840-521292.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2841,"Theme: travel classification regression-suite multi-hop en-us; 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: 2841-294602.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2842,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2842-902331.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2843,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2843-661995.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2844,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2844-425953.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2845,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2845-656759.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2846,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2846-702541.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2847,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2847-520905.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2848,"Theme: travel classification regression-suite multi-hop en-us; 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: 2848-923810.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2849,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2849-951852.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2850,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 2850-675363.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2851,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2851-603457.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2852,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2852-636605.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2853,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2853-208393.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2854,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2854-587659.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2855,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2855-641736.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2856,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2856-501207.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2857,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2857-228446.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2858,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 2858-179927.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2859,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2859-975543.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2860,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2860-444707.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2861,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2861-249955.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2862,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2862-132631.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2863,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2863-148925.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2864,"Theme: travel classification regression-suite multi-hop en-us; 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: 2864-444755.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2865,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2865-604500.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2866,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2866-398303.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2867,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2867-526906.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2868,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2868-557428.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2869,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2869-241476.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2870,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2870-791097.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2871,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2871-544827.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2872,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2872-678735.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2873,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2873-971523.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2874,"Theme: travel classification regression-suite multi-hop en-us; 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: 2874-769958.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2875,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2875-248436.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2876,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2876-563932.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2877,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2877-129461.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2878,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2878-134303.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2879,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2879-707887.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2880,"Theme: travel classification regression-suite multi-hop en-us; 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: 2880-408266.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2881,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2881-781035.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2882,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2882-961438.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2883,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 2883-400527.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2884,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2884-779399.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2885,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2885-349746.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2886,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2886-611838.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2887,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2887-370799.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2888,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2888-258881.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2889,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2889-346577.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2890,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2890-541941.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2891,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2891-400905.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2892,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2892-723037.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2893,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2893-840206.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2894,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2894-342312.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2895,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 2895-653623.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2896,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2896-562944.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2897,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2897-253119.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2898,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 2898-542066.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2899,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2899-560967.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2900,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2900-109026.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2901,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 2901-609408.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2902,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2902-194455.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2903,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2903-691992.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2904,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2904-410605.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2905,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2905-860992.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2906,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2906-278017.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2907,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2907-772909.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2908,"Theme: travel classification regression-suite multi-hop en-us; 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: 2908-632876.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2909,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2909-198073.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2910,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2910-577700.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2911,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2911-193247.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2912,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 2912-857556.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2913,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2913-162710.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2914,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2914-958981.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2915,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2915-582776.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2916,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2916-723382.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2917,"Theme: travel classification regression-suite multi-hop en-us; 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: 2917-893126.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2918,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2918-675832.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2919,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 2919-406062.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2920,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2920-349251.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2921,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2921-685835.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2922,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2922-645310.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2923,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2923-914753.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2924,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 2924-487189.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2925,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2925-894870.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2926,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 2926-887006.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2927,"Theme: travel classification regression-suite multi-hop en-us; 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: 2927-244486.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2928,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2928-758400.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2929,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2929-429236.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2930,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2930-963132.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2931,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2931-289334.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2932,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2932-350695.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2933,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2933-508550.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2934,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2934-382789.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2935,"Theme: travel classification regression-suite multi-hop en-us; 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: 2935-830645.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2936,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2936-450141.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2937,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2937-669673.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2938,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2938-117798.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2939,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2939-813191.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2940,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2940-734985.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2941,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2941-949663.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2942,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 2942-286333.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2943,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2943-408165.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2944,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 2944-684560.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2945,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2945-169805.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2946,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 2946-100693.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2947,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2947-467599.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2948,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2948-559148.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2949,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2949-235710.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2950,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2950-456929.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2951,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2951-354033.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2952,"Theme: travel classification regression-suite multi-hop en-us; 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: 2952-137418.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2953,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2953-893266.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2954,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 2954-693178.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2955,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2955-534570.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2956,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2956-691423.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2957,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2957-427025.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2958,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2958-652204.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2959,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2959-670698.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2960,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2960-139128.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2961,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2961-259181.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2962,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2962-182255.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2963,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2963-282480.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2964,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2964-776244.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2965,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2965-306056.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2966,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 2966-157760.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2967,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2967-368256.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2968,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2968-440365.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2969,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2969-265118.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2970,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2970-712628.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2971,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2971-534030.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2972,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2972-126170.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2973,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2973-763765.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2974,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2974-408348.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2975,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2975-786465.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2976,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 2976-445172.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2977,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2977-179072.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2978,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2978-549068.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2979,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 2979-444764.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2980,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2980-437460.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2981,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2981-604029.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+2982,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2982-594106.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2983,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2983-619275.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2984,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2984-247671.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2985,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2985-371309.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+2986,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2986-486752.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2987,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2987-757310.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+2988,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2988-420874.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+2989,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2989-811170.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+2990,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2990-794985.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
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+2997,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2997-217268.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
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+3001,"Theme: travel classification regression-suite multi-hop en-us; 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: 3001-836379.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3002,"Theme: travel classification regression-suite multi-hop en-us; 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: 3002-397996.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3003,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3003-511899.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3004,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3004-499406.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3005,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3005-350609.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3006,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3006-860248.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
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+3010,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3010-711874.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3011,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3011-753504.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3012,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 3012-216286.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3013,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3013-863493.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3014,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3014-430332.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3015,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3015-912621.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3016,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3016-991423.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3017,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3017-748897.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3018,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3018-136227.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3019,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3019-622412.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3020,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3020-309626.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3021,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3021-532630.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3022,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3022-907017.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3023,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3023-538926.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
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+3025,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3025-849658.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3026,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3026-468252.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3027,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3027-484107.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3028,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3028-427003.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3029,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 3029-145271.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3030,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3030-448391.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3031,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3031-985005.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3032,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 3032-138046.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3033,"Theme: travel classification regression-suite multi-hop en-us; 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: 3033-123704.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3034,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3034-358355.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3035,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 3035-480535.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3036,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3036-918686.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3037,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 3037-329279.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3038,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3038-465333.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3039,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3039-574007.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3040,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3040-725284.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3041,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3041-662813.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3042,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3042-530703.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3043,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3043-690160.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
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+3045,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3045-126090.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3046,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3046-458625.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3047,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3047-138745.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3048,"Theme: travel classification regression-suite multi-hop en-us; 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: 3048-886758.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3049,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3049-871837.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3050,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3050-585311.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3051,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3051-151052.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3052,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 3052-383507.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3053,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3053-351098.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3054,"Theme: travel classification regression-suite multi-hop en-us; 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: 3054-928327.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3055,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3055-810798.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
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+3061,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3061-192325.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
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+3066,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3066-161417.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
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+3069,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3069-780506.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3070,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 3070-815014.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3071,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3071-861583.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3072,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3072-109996.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3073,"Theme: travel classification regression-suite multi-hop en-us; 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: 3073-188878.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3074,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3074-909693.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3075,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3075-723246.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3076,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3076-473717.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3077,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3077-961430.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3078,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3078-456689.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3079,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 3079-233630.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3080,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3080-612012.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3081,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3081-778834.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3082,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3082-691069.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3083,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3083-410640.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3084,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3084-433229.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3085,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3085-601485.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3086,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3086-587852.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3087,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3087-231017.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3088,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3088-293569.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3089,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3089-632080.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3090,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3090-598449.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3091,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3091-136115.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3092,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3092-367877.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3093,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3093-906064.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3094,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3094-565400.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3095,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3095-461866.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3096,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3096-550415.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3097,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3097-948438.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3098,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3098-218234.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3099,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3099-380557.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3100,"Theme: travel classification regression-suite multi-hop en-us; 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: 3100-392272.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3101,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 3101-636104.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3102,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3102-927328.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3103,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3103-455708.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3104,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3104-982176.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3105,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3105-539140.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3106,"Theme: travel classification regression-suite multi-hop en-us; 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: 3106-718014.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3107,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3107-536196.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3108,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3108-464321.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3109,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3109-279637.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3110,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3110-702822.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3111,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3111-304888.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3112,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 3112-614851.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3113,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3113-499075.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3114,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3114-898482.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3115,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3115-220954.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3116,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3116-412157.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3117,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3117-141022.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3118,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3118-731673.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3119,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3119-523912.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3120,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3120-773596.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3121,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3121-601481.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3122,"Theme: travel classification regression-suite multi-hop en-us; 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: 3122-449519.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3123,"Theme: travel classification regression-suite multi-hop en-us; 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: 3123-747281.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3124,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 3124-924825.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3125,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3125-201349.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3126,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3126-385014.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3127,"Theme: travel classification regression-suite multi-hop en-us; 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: 3127-897818.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3128,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3128-822327.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3129,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3129-703707.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3130,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3130-984096.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3131,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3131-809329.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3132,"Theme: travel classification regression-suite multi-hop en-us; 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: 3132-761231.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3133,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3133-116448.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3134,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3134-364666.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3135,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3135-207790.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3136,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3136-156743.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3137,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 3137-151327.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3138,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3138-862200.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3139,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3139-509914.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3140,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3140-769818.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3141,"Theme: travel classification regression-suite multi-hop en-us; 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: 3141-697722.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3142,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3142-307555.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3143,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3143-551540.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3144,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3144-765099.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3145,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3145-735530.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3146,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3146-884820.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3147,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3147-602968.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3148,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 3148-486984.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3149,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3149-865353.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3150,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3150-486730.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3151,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3151-647608.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3152,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3152-114737.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3153,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 3153-818854.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3154,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3154-919105.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3155,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 3155-422393.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3156,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3156-487133.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3157,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 3157-707301.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3158,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3158-985168.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3159,"Theme: travel classification regression-suite multi-hop en-us; 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: 3159-939710.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3160,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3160-166089.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3161,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3161-521571.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3162,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3162-437043.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3163,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3163-503510.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3164,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3164-284874.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3165,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3165-625505.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3166,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 3166-357069.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3167,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3167-471507.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3168,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3168-185778.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3169,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3169-914517.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3170,"Theme: travel classification regression-suite multi-hop en-us; 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: 3170-201691.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
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+3172,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3172-365545.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3173,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 3173-354918.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3174,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3174-681536.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3175,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3175-160177.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3176,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3176-809923.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3177,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3177-894000.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3178,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3178-701054.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3179,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3179-509243.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3180,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3180-788044.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3181,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3181-541604.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3182,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3182-317341.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3183,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3183-673523.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3184,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3184-530343.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3185,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3185-693045.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3186,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3186-141447.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3187,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3187-738650.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3188,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3188-471450.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3189,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3189-934649.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3190,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3190-719685.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3191,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3191-899572.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3192,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3192-864551.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3193,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 3193-193777.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3194,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3194-653750.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3195,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3195-870863.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3196,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3196-153347.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3197,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3197-601994.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3198,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3198-120715.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3199,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3199-517850.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3200,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3200-394950.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3201,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3201-353137.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3202,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3202-621107.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3203,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3203-183710.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3204,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3204-467281.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3205,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3205-401760.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3206,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3206-199741.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3207,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3207-355126.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3208,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 3208-563612.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3209,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3209-562363.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3210,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3210-385522.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3211,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3211-551999.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3212,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3212-927641.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3213,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3213-961924.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3214,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3214-130254.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3215,"Theme: travel classification regression-suite multi-hop en-us; 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: 3215-211463.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3216,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3216-825282.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3217,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3217-623506.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3218,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3218-777661.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3219,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3219-713154.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3220,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3220-195034.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3221,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3221-698010.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3222,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3222-276403.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3223,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3223-446838.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3224,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3224-561356.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3225,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3225-837455.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3226,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3226-164176.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3227,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3227-435272.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3228,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3228-163362.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3229,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3229-832055.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3230,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3230-751779.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3231,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3231-394443.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3232,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3232-371659.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3233,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3233-165870.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3234,"Theme: travel classification regression-suite multi-hop en-us; 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: 3234-834078.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3235,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 3235-160606.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3236,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3236-460035.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3237,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3237-192997.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3238,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3238-661100.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3239,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3239-359091.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3240,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3240-487875.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3241,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3241-261108.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3242,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3242-169563.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3243,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3243-497293.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3244,"Theme: travel classification regression-suite multi-hop en-us; 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: 3244-590875.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3245,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3245-582428.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3246,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 3246-361031.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3247,"Theme: travel classification regression-suite multi-hop en-us; 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: 3247-753604.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3248,"Theme: travel classification regression-suite multi-hop en-us; 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: 3248-112550.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3249,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3249-983215.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3250,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3250-152981.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3251,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3251-633350.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3252,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3252-156072.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3253,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3253-568933.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3254,"Theme: travel classification regression-suite multi-hop en-us; 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: 3254-142690.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3255,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3255-535601.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3256,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3256-202492.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3257,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3257-547332.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3258,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3258-116681.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3259,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3259-336510.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3260,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3260-265231.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3261,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3261-336189.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3262,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3262-961770.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3263,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3263-803592.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3264,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3264-203502.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3265,"Theme: travel classification regression-suite multi-hop en-us; 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: 3265-128398.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3266,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 3266-756668.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3267,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3267-809585.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3268,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3268-330278.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3269,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3269-695746.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3270,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3270-767773.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3271,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3271-915039.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3272,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3272-374683.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3273,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3273-953234.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3274,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3274-990409.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3275,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3275-743671.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3276,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3276-188337.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3277,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3277-118488.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3278,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3278-787394.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3279,"Theme: travel classification regression-suite multi-hop en-us; 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: 3279-739650.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3280,"Theme: travel classification regression-suite multi-hop en-us; 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: 3280-315055.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3281,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 3281-555337.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3282,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3282-404922.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3283,"Theme: travel classification regression-suite multi-hop en-us; 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: 3283-623725.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3284,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3284-366754.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3285,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3285-856855.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3286,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3286-807939.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3287,"Theme: travel classification regression-suite multi-hop en-us; 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: 3287-892527.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
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+3289,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 3289-708685.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3290,"Theme: travel classification regression-suite multi-hop en-us; 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: 3290-581439.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3291,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3291-969546.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3292,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3292-106536.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
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+3294,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3294-130866.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3295,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3295-740061.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3296,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3296-160316.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3297,"Theme: travel classification regression-suite multi-hop en-us; 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: 3297-357104.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3298,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 3298-931436.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3299,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3299-373469.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3300,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3300-318823.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3301,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3301-564696.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3302,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 3302-558010.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3303,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3303-254520.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3304,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3304-266627.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3305,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3305-703407.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3306,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3306-460154.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3307,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3307-444313.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3308,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3308-755439.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3309,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3309-330835.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3310,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3310-221770.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3311,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3311-464314.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3312,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3312-457318.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3313,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3313-310255.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3314,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3314-501007.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3315,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3315-673711.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3316,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3316-822512.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3317,"Theme: travel classification regression-suite multi-hop en-us; 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: 3317-621648.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3318,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3318-712507.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3319,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3319-777854.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3320,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3320-830225.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3321,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3321-869804.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3322,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3322-894550.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3323,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 3323-975518.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3324,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3324-429130.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3325,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3325-436921.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3326,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3326-306882.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3327,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3327-861608.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3328,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3328-497101.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3329,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3329-896568.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3330,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3330-755034.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3331,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3331-234415.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3332,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3332-505886.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3333,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3333-316845.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3334,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3334-800379.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3335,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3335-929316.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3336,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3336-281255.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3337,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 3337-592542.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3338,"Theme: travel classification regression-suite multi-hop en-us; 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: 3338-891710.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3339,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3339-586644.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3340,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3340-554730.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3341,"Theme: travel classification regression-suite multi-hop en-us; 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: 3341-551643.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3342,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3342-875771.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3343,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 3343-575884.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3344,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3344-367124.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3345,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3345-916884.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3346,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 3346-640899.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3347,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3347-491797.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3348,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3348-482854.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3349,"Theme: travel classification regression-suite multi-hop en-us; 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: 3349-621488.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3350,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3350-941306.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3351,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3351-135201.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3352,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 3352-970311.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3353,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3353-423355.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3354,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3354-200460.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3355,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3355-963775.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3356,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3356-636580.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3357,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 3357-902626.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3358,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 3358-687321.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3359,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3359-690324.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3360,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3360-760933.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3361,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3361-701049.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3362,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3362-600825.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3363,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3363-128906.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3364,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3364-240346.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3365,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3365-726524.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3366,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3366-287051.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3367,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3367-946712.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3368,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3368-396217.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3369,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3369-265705.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3370,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3370-168132.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3371,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3371-297286.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3372,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3372-254492.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3373,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3373-201767.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3374,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3374-748402.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3375,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3375-315225.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3376,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 3376-114217.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3377,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3377-942958.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3378,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3378-390856.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3379,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3379-190442.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3380,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3380-537540.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3381,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3381-468013.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3382,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3382-995960.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3383,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3383-396268.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3384,"Theme: travel classification regression-suite multi-hop en-us; 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: 3384-242220.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3385,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3385-100790.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3386,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3386-897193.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3387,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3387-229526.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3388,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 3388-199063.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3389,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3389-744942.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3390,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3390-898482.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3391,"Theme: travel classification regression-suite multi-hop en-us; 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: 3391-708672.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3392,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3392-791756.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3393,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 3393-764372.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3394,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 3394-222364.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3395,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3395-156663.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3396,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3396-858025.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3397,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3397-371363.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3398,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3398-104243.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3399,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3399-470121.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3400,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3400-953521.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3401,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3401-640947.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3402,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3402-379299.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3403,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3403-454563.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3404,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3404-224555.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3405,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3405-412506.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3406,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3406-538406.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3407,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3407-738871.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3408,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3408-970692.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3409,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3409-175945.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3410,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3410-885677.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3411,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3411-297580.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3412,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 3412-991534.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3413,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3413-552001.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3414,"Theme: travel classification regression-suite multi-hop en-us; 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: 3414-280122.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3415,"Theme: travel classification regression-suite multi-hop en-us; 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: 3415-616909.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3416,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3416-498381.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3417,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3417-472729.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3418,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3418-494321.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3419,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3419-842320.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3420,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3420-526900.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3421,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3421-884419.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3422,"Theme: travel classification regression-suite multi-hop en-us; 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: 3422-359245.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3423,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3423-249322.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3424,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 3424-882511.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3425,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3425-149809.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3426,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3426-258285.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3427,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3427-784819.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3428,"Theme: travel classification regression-suite multi-hop en-us; 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: 3428-249585.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3429,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3429-428792.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3430,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3430-737143.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3431,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3431-283039.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3432,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 3432-820095.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3433,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 3433-391208.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3434,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3434-702123.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3435,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3435-654141.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3436,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3436-972617.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3437,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3437-231703.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3438,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3438-343421.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3439,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3439-225383.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3440,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3440-229321.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3441,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3441-530108.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3442,"Theme: travel classification regression-suite multi-hop en-us; 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: 3442-173350.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3443,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3443-229324.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3444,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3444-983572.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3445,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3445-769759.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3446,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 3446-370398.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3447,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3447-941608.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3448,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3448-412330.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3449,"Theme: travel classification regression-suite multi-hop en-us; 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: 3449-334884.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3450,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3450-781910.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3451,"Theme: travel classification regression-suite multi-hop en-us; 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: 3451-975884.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3452,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3452-189379.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3453,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3453-510218.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3454,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3454-503589.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3455,"Theme: travel classification regression-suite multi-hop en-us; 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: 3455-901545.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3456,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3456-563132.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3457,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3457-154059.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3458,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3458-652134.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3459,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3459-743045.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3460,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3460-541940.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3461,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3461-233169.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3462,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3462-740017.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3463,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 3463-541930.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3464,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3464-889400.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3465,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3465-988819.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3466,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3466-479949.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3467,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3467-475831.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3468,"Theme: travel classification regression-suite multi-hop en-us; 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: 3468-761249.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3469,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3469-538949.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3470,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3470-165291.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3471,"Theme: travel classification regression-suite multi-hop en-us; 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: 3471-103719.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3472,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3472-309236.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3473,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 3473-513687.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3474,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 3474-900691.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3475,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3475-375819.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3476,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3476-376827.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3477,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 3477-383866.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3478,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3478-878761.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3479,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3479-656213.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3480,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3480-254342.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3481,"Theme: travel classification regression-suite multi-hop en-us; 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: 3481-947139.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3482,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3482-266907.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3483,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 3483-581694.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3484,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3484-817539.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3485,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3485-184098.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3486,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3486-708548.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3487,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3487-828364.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3488,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3488-842804.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3489,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3489-441802.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3490,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3490-365912.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3491,"Theme: travel classification regression-suite multi-hop en-us; 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: 3491-228243.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3492,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3492-480796.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3493,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3493-274362.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3494,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3494-645961.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3495,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 3495-159670.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3496,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3496-653565.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3497,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3497-691938.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3498,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3498-119530.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3499,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3499-876150.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3500,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3500-407255.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3501,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3501-462066.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3502,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3502-201191.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3503,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3503-802134.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3504,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3504-659129.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3505,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3505-115303.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3506,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3506-708112.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3507,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3507-813736.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
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+3509,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3509-714371.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3510,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3510-276751.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3511,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3511-580082.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3512,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3512-370003.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3513,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 3513-429735.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3514,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3514-715069.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3515,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3515-750916.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3516,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3516-293734.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3517,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3517-614489.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3518,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3518-800754.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3519,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3519-369045.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3520,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3520-690979.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3521,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3521-144801.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3522,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3522-737939.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3523,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3523-671880.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3524,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3524-727348.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3525,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3525-612191.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3526,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3526-102077.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3527,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3527-741280.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3528,"Theme: travel classification regression-suite multi-hop en-us; 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: 3528-131515.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3529,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3529-377186.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3530,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3530-103341.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3531,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 3531-487563.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3532,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 3532-298778.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3533,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3533-478039.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3534,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3534-841720.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3535,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3535-981965.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3536,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3536-315192.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3537,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3537-345238.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3538,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3538-852927.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3539,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3539-904934.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3540,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3540-855308.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3541,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 3541-941375.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3542,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3542-278799.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3543,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3543-343910.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3544,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3544-587252.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3545,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3545-641510.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3546,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3546-152612.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3547,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3547-822752.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3548,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3548-534655.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3549,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 3549-784971.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3550,"Theme: travel classification regression-suite multi-hop en-us; 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: 3550-230878.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3551,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3551-686091.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3552,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3552-904299.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3553,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3553-390317.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3554,"Theme: travel classification regression-suite multi-hop en-us; 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: 3554-299317.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3555,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3555-526872.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3556,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3556-315356.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3557,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3557-847238.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3558,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3558-164496.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3559,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3559-887665.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3560,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3560-157459.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3561,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3561-505689.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3562,"Theme: travel classification regression-suite multi-hop en-us; 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: 3562-327694.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3563,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3563-119171.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3564,"Theme: travel classification regression-suite multi-hop en-us; 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: 3564-845900.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3565,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3565-738360.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3566,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3566-438026.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3567,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3567-461142.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3568,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3568-269878.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3569,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3569-268044.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3570,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3570-724821.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3571,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3571-716730.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3572,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3572-561243.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3573,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3573-117398.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3574,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3574-581781.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3575,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3575-230090.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3576,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3576-515258.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3577,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 3577-106006.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3578,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3578-152061.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3579,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3579-595929.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3580,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3580-776199.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3581,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3581-505391.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3582,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3582-968637.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3583,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3583-658290.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3584,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3584-605943.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3585,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3585-413444.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3586,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3586-900131.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3587,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3587-117938.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3588,"Theme: travel classification regression-suite multi-hop en-us; 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: 3588-340290.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3589,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 3589-718918.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3590,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3590-985648.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3591,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3591-688425.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3592,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3592-384392.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3593,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3593-506514.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3594,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3594-993206.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3595,"Theme: travel classification regression-suite multi-hop en-us; 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: 3595-208221.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3596,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3596-496325.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3597,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3597-345163.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3598,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3598-630347.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3599,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3599-693392.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3600,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3600-569009.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3601,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3601-373321.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3602,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3602-451455.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3603,"Theme: travel classification regression-suite multi-hop en-us; 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: 3603-305553.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3604,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3604-393738.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3605,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3605-791310.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3606,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3606-502327.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3607,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 3607-260228.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3608,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3608-891961.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3609,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 3609-140193.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3610,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3610-954022.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3611,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3611-450016.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3612,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3612-744821.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3613,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3613-484447.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3614,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3614-705006.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3615,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3615-505517.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3616,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3616-407187.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3617,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3617-152867.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3618,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3618-488241.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3619,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3619-926271.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3620,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3620-770777.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3621,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 3621-464107.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3622,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 3622-691995.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3623,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 3623-888234.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3624,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3624-560661.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3625,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3625-601607.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3626,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3626-451946.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3627,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3627-418095.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3628,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3628-278430.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3629,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3629-668688.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3630,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 3630-413502.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3631,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3631-211653.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3632,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3632-874245.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3633,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3633-506625.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3634,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3634-647110.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3635,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3635-216614.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3636,"Theme: travel classification regression-suite multi-hop en-us; 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: 3636-164793.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3637,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 3637-114922.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3638,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3638-600577.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3639,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3639-456420.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3640,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3640-379499.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3641,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3641-906130.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3642,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3642-865790.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3643,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3643-849723.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3644,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 3644-975207.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3645,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3645-909260.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3646,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3646-969690.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3647,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3647-359688.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3648,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3648-197604.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3649,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3649-241861.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3650,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3650-288447.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3651,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3651-169131.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3652,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3652-174409.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3653,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3653-404338.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3654,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3654-533089.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3655,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3655-173768.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3656,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3656-834315.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3657,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3657-388223.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3658,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3658-923523.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3659,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3659-442378.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3660,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3660-231680.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3661,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3661-150707.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3662,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3662-167346.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3663,"Theme: travel classification regression-suite multi-hop en-us; 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: 3663-320987.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3664,"Theme: travel classification regression-suite multi-hop en-us; 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: 3664-988919.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3665,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3665-699122.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3666,"Theme: travel classification regression-suite multi-hop en-us; 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: 3666-692385.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3667,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3667-710372.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3668,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3668-825785.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3669,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3669-210661.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3670,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3670-488660.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3671,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 3671-740979.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3672,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3672-277163.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3673,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3673-858184.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3674,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3674-519817.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3675,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3675-725203.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3676,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3676-939586.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3677,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3677-932953.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3678,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3678-838470.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3679,"Theme: travel classification regression-suite multi-hop en-us; 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: 3679-520016.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3680,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3680-685802.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3681,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3681-408036.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3682,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3682-163487.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3683,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3683-893308.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3684,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3684-575287.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3685,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3685-621766.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3686,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3686-633171.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3687,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3687-479718.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3688,"Theme: travel classification regression-suite multi-hop en-us; 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: 3688-643297.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3689,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3689-984575.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3690,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3690-565964.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3691,"Theme: travel classification regression-suite multi-hop en-us; 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: 3691-452816.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3692,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3692-285390.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3693,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 3693-142552.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3694,"Theme: travel classification regression-suite multi-hop en-us; 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: 3694-196377.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3695,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3695-665847.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3696,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3696-911686.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3697,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3697-816200.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3698,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3698-517612.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3699,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3699-726910.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3700,"Theme: travel classification regression-suite multi-hop en-us; 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: 3700-177200.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3701,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3701-727276.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3702,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3702-579603.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3703,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3703-497299.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3704,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3704-444386.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3705,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3705-564918.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3706,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3706-646754.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3707,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3707-489022.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3708,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3708-916415.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3709,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3709-550920.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3710,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 3710-726887.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3711,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3711-237531.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3712,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3712-151157.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3713,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3713-314398.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3714,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3714-572831.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3715,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3715-797235.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3716,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3716-963696.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3717,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3717-557713.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3718,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3718-342272.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3719,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3719-779237.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3720,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3720-324625.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3721,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3721-650183.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3722,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3722-654896.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3723,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3723-980609.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3724,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3724-632140.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3725,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3725-394670.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3726,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3726-560732.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3727,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3727-657905.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3728,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3728-281764.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3729,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3729-627853.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3730,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3730-266985.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3731,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3731-415429.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3732,"Theme: travel classification regression-suite multi-hop en-us; 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: 3732-916708.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3733,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3733-470245.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3734,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3734-253194.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3735,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3735-741724.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3736,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3736-119967.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3737,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 3737-885279.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3738,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3738-151170.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3739,"Theme: travel classification regression-suite multi-hop en-us; 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: 3739-240665.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3740,"Theme: travel classification regression-suite multi-hop en-us; 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: 3740-587024.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3741,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3741-553556.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3742,"Theme: travel classification regression-suite multi-hop en-us; 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: 3742-709603.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3743,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3743-581684.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3744,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3744-624157.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3745,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3745-954040.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3746,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3746-835152.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3747,"Theme: travel classification regression-suite multi-hop en-us; 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: 3747-677050.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3748,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3748-285357.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3749,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 3749-487898.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3750,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3750-605253.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3751,"Theme: travel classification regression-suite multi-hop en-us; 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: 3751-270552.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3752,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3752-976644.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3753,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3753-280118.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3754,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3754-493564.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3755,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 3755-108729.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3756,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3756-439599.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3757,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3757-348643.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3758,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3758-735232.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3759,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3759-219089.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3760,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3760-313165.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3761,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3761-200379.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3762,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3762-565994.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3763,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3763-178188.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3764,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3764-396372.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3765,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3765-431275.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3766,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3766-609275.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3767,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3767-458661.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3768,"Theme: travel classification regression-suite multi-hop en-us; 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: 3768-796714.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3769,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 3769-240454.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3770,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3770-989263.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3771,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3771-147777.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3772,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3772-707755.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3773,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 3773-553018.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3774,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3774-609843.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3775,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3775-370049.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3776,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3776-931350.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3777,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 3777-745712.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3778,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3778-961876.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3779,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 3779-452544.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3780,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3780-720383.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3781,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3781-962470.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3782,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3782-658281.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3783,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3783-138325.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3784,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3784-868483.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3785,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3785-290403.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3786,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3786-552237.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3787,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 3787-845250.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3788,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3788-296414.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3789,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3789-694236.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3790,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3790-933531.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3791,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3791-619528.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3792,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3792-419481.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3793,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3793-148024.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3794,"Theme: travel classification regression-suite multi-hop en-us; 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: 3794-866618.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3795,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3795-877128.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3796,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3796-477356.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3797,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3797-545056.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3798,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3798-248006.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3799,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3799-955958.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3800,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3800-611155.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3801,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3801-198441.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3802,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3802-987940.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3803,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3803-358304.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3804,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3804-803500.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3805,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3805-825693.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3806,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3806-648773.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3807,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 3807-789015.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3808,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3808-623195.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3809,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3809-460435.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3810,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3810-889139.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3811,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3811-607161.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3812,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3812-684276.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3813,"Theme: travel classification regression-suite multi-hop en-us; 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: 3813-119384.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3814,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3814-715006.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3815,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3815-185198.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3816,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3816-662964.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3817,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3817-963888.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3818,"Theme: travel classification regression-suite multi-hop en-us; 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: 3818-134955.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3819,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3819-274510.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3820,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3820-169860.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3821,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3821-120637.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3822,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3822-658106.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3823,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3823-187493.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3824,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3824-908824.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3825,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3825-707629.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3826,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3826-756391.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3827,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3827-940709.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3828,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3828-758011.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3829,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3829-949271.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3830,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3830-509329.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3831,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3831-805628.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3832,"Theme: travel classification regression-suite multi-hop en-us; 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: 3832-222090.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3833,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3833-706121.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3834,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3834-983698.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3835,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3835-421849.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3836,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3836-765773.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3837,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3837-836367.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3838,"Theme: travel classification regression-suite multi-hop en-us; 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: 3838-929022.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3839,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3839-290994.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3840,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3840-789805.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3841,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3841-589985.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3842,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3842-112956.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3843,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3843-421275.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3844,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3844-761388.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3845,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3845-578620.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3846,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3846-238836.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3847,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3847-452062.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3848,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3848-713930.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3849,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3849-575565.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3850,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3850-439974.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3851,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3851-221479.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3852,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3852-323249.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3853,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3853-797626.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3854,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3854-269091.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3855,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3855-525857.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3856,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3856-472711.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3857,"Theme: travel classification regression-suite multi-hop en-us; 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: 3857-589595.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3858,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3858-206778.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3859,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3859-621326.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3860,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3860-692642.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3861,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 3861-934305.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3862,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3862-226160.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3863,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3863-475854.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3864,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3864-429812.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3865,"Theme: travel classification regression-suite multi-hop en-us; 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: 3865-508442.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3866,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3866-533765.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3867,"Theme: travel classification regression-suite multi-hop en-us; 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: 3867-768695.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3868,"Theme: travel classification regression-suite multi-hop en-us; 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: 3868-387248.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3869,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3869-761940.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3870,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3870-671350.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3871,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3871-881270.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3872,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3872-728201.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3873,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 3873-256028.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3874,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3874-742272.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3875,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3875-110332.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3876,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 3876-670283.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3877,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 3877-885457.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3878,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3878-273281.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3879,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3879-532500.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3880,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3880-569965.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3881,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 3881-303161.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3882,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 3882-538438.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3883,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 3883-393844.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3884,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 3884-926551.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3885,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3885-665829.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3886,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 3886-295574.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3887,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 3887-950228.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3888,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3888-992418.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3889,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3889-600595.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3890,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3890-978124.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3891,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3891-881554.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3892,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3892-276872.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3893,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3893-378082.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3894,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3894-212522.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3895,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3895-343896.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3896,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3896-300576.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3897,"Theme: travel classification regression-suite multi-hop en-us; 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: 3897-466619.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3898,"Theme: travel classification regression-suite multi-hop en-us; 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: 3898-317050.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3899,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3899-539901.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3900,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3900-898995.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3901,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3901-281058.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3902,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3902-185545.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3903,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3903-576566.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3904,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 3904-349416.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3905,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3905-452247.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3906,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3906-638726.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3907,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 3907-961171.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3908,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3908-907059.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3909,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3909-416361.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3910,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3910-594502.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3911,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3911-196406.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3912,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3912-659453.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3913,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 3913-834363.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3914,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3914-332957.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3915,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3915-969574.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3916,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3916-788727.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3917,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3917-429618.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3918,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 3918-458773.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3919,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3919-458419.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3920,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3920-676442.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3921,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 3921-459212.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3922,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 3922-255508.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3923,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3923-269927.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3924,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3924-544546.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3925,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3925-860670.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3926,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3926-264053.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3927,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3927-856389.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3928,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3928-674371.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3929,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3929-687781.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3930,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3930-133118.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3931,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3931-386109.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3932,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3932-290576.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3933,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3933-943159.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3934,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3934-715452.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3935,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3935-880034.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3936,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3936-617944.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3937,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3937-460659.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3938,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3938-633524.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3939,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3939-286470.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3940,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3940-699608.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3941,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3941-781261.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3942,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3942-940491.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3943,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3943-671160.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3944,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3944-210951.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3945,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3945-855670.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3946,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3946-853550.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3947,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3947-381975.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3948,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3948-298932.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3949,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 3949-742546.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3950,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 3950-992214.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3951,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3951-848407.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3952,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3952-961286.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3953,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3953-794043.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3954,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3954-392525.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3955,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3955-481140.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3956,"Theme: travel classification regression-suite multi-hop en-us; 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: 3956-363751.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3957,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3957-264979.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3958,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3958-672801.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3959,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 3959-134340.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3960,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 3960-949399.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3961,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3961-172785.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3962,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3962-223641.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3963,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3963-826311.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3964,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3964-348281.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3965,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3965-664589.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3966,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3966-902518.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3967,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3967-937108.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3968,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3968-600857.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3969,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3969-419361.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3970,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3970-412255.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3971,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3971-625992.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3972,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3972-641014.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3973,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 3973-387695.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3974,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3974-389911.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3975,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3975-904211.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3976,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 3976-439364.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3977,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 3977-181891.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3978,"Theme: travel classification regression-suite multi-hop en-us; 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: 3978-424592.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3979,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3979-980630.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3980,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 3980-704430.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3981,"Theme: travel classification regression-suite multi-hop en-us; 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: 3981-809625.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3982,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3982-859231.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3983,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 3983-616890.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+3984,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 3984-650768.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3985,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3985-298357.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+3986,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3986-448826.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3987,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3987-880612.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3988,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3988-933342.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3989,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 3989-892501.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3990,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3990-693032.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3991,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3991-251018.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3992,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3992-813488.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3993,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3993-157902.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3994,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 3994-273742.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3995,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3995-637659.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+3996,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3996-744659.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3997,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3997-303074.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+3998,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3998-463176.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+3999,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3999-959602.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4000,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 4000-678789.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4001,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4001-533990.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4002,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4002-500975.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4003,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4003-570641.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4004,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4004-338216.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4005,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4005-151337.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4006,"Theme: travel classification regression-suite multi-hop en-us; 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: 4006-848651.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4007,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4007-404842.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4008,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 4008-800186.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4009,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4009-899990.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4010,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4010-115825.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4011,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 4011-480119.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4012,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4012-435150.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4013,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4013-183116.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4014,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4014-946352.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4015,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4015-248515.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4016,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4016-333527.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4017,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4017-203379.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4018,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4018-701336.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4019,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4019-748461.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4020,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4020-747107.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4021,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4021-916771.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4022,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4022-543244.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4023,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4023-476459.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4024,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4024-443103.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4025,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4025-748419.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4026,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4026-474525.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4027,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 4027-967740.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4028,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4028-435608.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4029,"Theme: travel classification regression-suite multi-hop en-us; 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: 4029-979497.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4030,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4030-163959.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4031,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4031-732102.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4032,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4032-327234.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4033,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4033-636123.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4034,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4034-829139.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4035,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4035-316982.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4036,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4036-734186.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4037,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4037-819568.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4038,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4038-275062.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4039,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4039-976919.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4040,"Theme: travel classification regression-suite multi-hop en-us; 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: 4040-526337.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4041,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4041-692841.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4042,"Theme: travel classification regression-suite multi-hop en-us; 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: 4042-501564.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4043,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4043-919759.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4044,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4044-779284.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4045,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4045-351947.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4046,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4046-282925.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4047,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 4047-244446.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4048,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4048-919921.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4049,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4049-281542.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4050,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 4050-806363.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4051,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4051-496829.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4052,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4052-641157.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4053,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4053-286216.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4054,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4054-999448.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4055,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 4055-338112.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4056,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 4056-927722.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4057,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4057-799820.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4058,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 4058-912038.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4059,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4059-876260.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4060,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4060-392916.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4061,"Theme: travel classification regression-suite multi-hop en-us; 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: 4061-783991.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4062,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4062-539801.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4063,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4063-261773.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4064,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4064-396276.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4065,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 4065-367182.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4066,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4066-470936.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4067,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4067-304518.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4068,"Theme: travel classification regression-suite multi-hop en-us; 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: 4068-607837.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4069,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4069-539225.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4070,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4070-126550.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4071,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4071-983912.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4072,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4072-871764.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4073,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4073-129610.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4074,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4074-916682.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4075,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4075-639446.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4076,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4076-128221.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4077,"Theme: travel classification regression-suite multi-hop en-us; 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: 4077-600058.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4078,"Theme: travel classification regression-suite multi-hop en-us; 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: 4078-735543.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4079,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4079-432705.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4080,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4080-339502.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4081,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4081-864643.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4082,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4082-187776.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4083,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4083-705377.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4084,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4084-402014.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4085,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4085-786920.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4086,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4086-965391.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4087,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4087-396688.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4088,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4088-279951.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4089,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4089-441317.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4090,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4090-360656.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4091,"Theme: travel classification regression-suite multi-hop en-us; 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: 4091-555256.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4092,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4092-506452.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4093,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4093-313167.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4094,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4094-513322.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4095,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4095-334357.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4096,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4096-313928.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4097,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4097-207893.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4098,"Theme: travel classification regression-suite multi-hop en-us; 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: 4098-504020.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4099,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4099-489747.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4100,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4100-495557.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4101,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4101-857284.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4102,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4102-665387.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4103,"Theme: travel classification regression-suite multi-hop en-us; 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: 4103-183168.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4104,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4104-250095.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4105,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4105-286785.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4106,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4106-915370.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4107,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4107-488135.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4108,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4108-232702.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4109,"Theme: travel classification regression-suite multi-hop en-us; 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: 4109-415593.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4110,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4110-959431.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4111,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 4111-373685.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4112,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4112-455657.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4113,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4113-842825.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4114,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4114-907214.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4115,"Theme: travel classification regression-suite multi-hop en-us; 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: 4115-825085.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4116,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4116-878354.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4117,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4117-714076.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4118,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 4118-108221.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4119,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 4119-601787.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4120,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4120-578161.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4121,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4121-260018.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4122,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4122-960932.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4123,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4123-634160.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4124,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4124-755783.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4125,"Theme: travel classification regression-suite multi-hop en-us; 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: 4125-686046.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4126,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4126-299114.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4127,"Theme: travel classification regression-suite multi-hop en-us; 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: 4127-406532.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4128,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4128-275394.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4129,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4129-356592.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4130,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4130-147139.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4131,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4131-905818.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4132,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 4132-452221.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4133,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 4133-127408.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4134,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4134-114916.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4135,"Theme: travel classification regression-suite multi-hop en-us; 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: 4135-953011.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4136,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4136-493964.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4137,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4137-128446.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4138,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4138-529703.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4139,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4139-283174.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4140,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4140-398021.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4141,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4141-159245.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4142,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4142-216917.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4143,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4143-384297.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4144,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4144-359673.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4145,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4145-155135.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4146,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4146-430726.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4147,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4147-400809.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4148,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4148-664216.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4149,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4149-467210.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4150,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4150-599826.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4151,"Theme: travel classification regression-suite multi-hop en-us; 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: 4151-239178.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4152,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 4152-159886.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4153,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4153-844612.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4154,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4154-583358.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4155,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4155-842865.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4156,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4156-592828.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4157,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4157-639901.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4158,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4158-329167.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4159,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 4159-308603.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4160,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4160-492483.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4161,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4161-599885.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4162,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4162-154080.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4163,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4163-327407.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4164,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4164-537683.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4165,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4165-346984.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4166,"Theme: travel classification regression-suite multi-hop en-us; 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: 4166-623345.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4167,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4167-179424.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4168,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4168-974082.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4169,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4169-965265.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4170,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 4170-125793.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4171,"Theme: travel classification regression-suite multi-hop en-us; 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: 4171-576177.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4172,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4172-134368.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4173,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4173-633481.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4174,"Theme: travel classification regression-suite multi-hop en-us; 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: 4174-893254.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4175,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4175-606878.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4176,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4176-878873.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4177,"Theme: travel classification regression-suite multi-hop en-us; 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: 4177-105814.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4178,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4178-222422.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4179,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4179-558332.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4180,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4180-897428.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4181,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4181-494551.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4182,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4182-660136.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4183,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4183-486173.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4184,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4184-271529.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4185,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4185-846506.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4186,"Theme: travel classification regression-suite multi-hop en-us; 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: 4186-895588.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4187,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4187-597499.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4188,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4188-287780.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4189,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4189-707138.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4190,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4190-993738.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4191,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4191-833585.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4192,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4192-604674.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4193,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 4193-637952.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4194,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 4194-393289.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4195,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4195-405692.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4196,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4196-110798.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4197,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4197-753301.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4198,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4198-774103.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4199,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4199-408670.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4200,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4200-522395.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4201,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4201-239961.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4202,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4202-185582.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4203,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4203-789127.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4204,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4204-975503.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4205,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4205-640559.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4206,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4206-936797.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4207,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4207-425111.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4208,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 4208-640345.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4209,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4209-749836.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4210,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4210-724896.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4211,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4211-549903.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4212,"Theme: travel classification regression-suite multi-hop en-us; 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: 4212-497169.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4213,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4213-512999.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4214,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4214-145830.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4215,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4215-134039.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4216,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4216-465814.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4217,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4217-456003.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4218,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4218-947300.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4219,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4219-100965.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4220,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4220-996818.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4221,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4221-329771.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4222,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4222-274451.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4223,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4223-573990.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4224,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4224-620463.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
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+4226,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4226-477209.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4227,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4227-314133.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4228,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4228-298292.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4229,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4229-219705.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4230,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4230-524616.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4231,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4231-654246.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4232,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4232-985439.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4233,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4233-676550.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4234,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4234-548588.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4235,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4235-396046.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4236,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4236-919298.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4237,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 4237-320913.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4238,"Theme: travel classification regression-suite multi-hop en-us; 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: 4238-422928.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4239,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 4239-936406.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4240,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4240-232696.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4241,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4241-819063.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4242,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4242-982474.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4243,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4243-868486.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4244,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4244-999825.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4245,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4245-924627.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4246,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4246-829888.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4247,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4247-610026.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4248,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4248-992367.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4249,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 4249-151833.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4250,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4250-204160.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4251,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 4251-936742.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4252,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4252-672195.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4253,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4253-925707.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4254,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4254-519476.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4255,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4255-597308.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4256,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4256-382244.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4257,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4257-547008.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4258,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4258-568665.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4259,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4259-863307.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4260,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 4260-602796.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4261,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4261-539192.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4262,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4262-582681.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4263,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4263-756220.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4264,"Theme: travel classification regression-suite multi-hop en-us; 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: 4264-973963.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4265,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4265-817119.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4266,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4266-816247.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4267,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4267-594261.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4268,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 4268-518477.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4269,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4269-502923.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4270,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4270-734448.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4271,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4271-569436.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4272,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4272-337113.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4273,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4273-530147.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4274,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4274-348680.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4275,"Theme: travel classification regression-suite multi-hop en-us; 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: 4275-425487.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4276,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4276-249585.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4277,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4277-595388.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4278,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4278-877120.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4279,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4279-178281.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4280,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4280-230376.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4281,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4281-738635.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4282,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4282-861641.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4283,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4283-995111.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4284,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4284-287513.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4285,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4285-936118.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4286,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4286-652616.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4287,"Theme: travel classification regression-suite multi-hop en-us; 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: 4287-265696.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
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+4289,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4289-949043.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4290,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 4290-575509.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4291,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4291-385907.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4292,"Theme: travel classification regression-suite multi-hop en-us; 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: 4292-122076.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4293,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4293-335791.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4294,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4294-998791.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4295,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4295-108579.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4296,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4296-957700.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4297,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4297-638522.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4298,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4298-987372.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4299,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4299-937424.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4300,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4300-228346.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4301,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4301-842254.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4302,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4302-774128.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4303,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4303-510843.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4304,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4304-817893.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4305,"Theme: travel classification regression-suite multi-hop en-us; 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: 4305-720564.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4306,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4306-466239.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4307,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4307-942504.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4308,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4308-210636.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4309,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4309-822146.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4310,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4310-741358.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4311,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4311-769233.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4312,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4312-630420.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4313,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4313-266309.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4314,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4314-454757.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4315,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4315-296234.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4316,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4316-689328.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4317,"Theme: travel classification regression-suite multi-hop en-us; 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: 4317-997943.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4318,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4318-495484.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4319,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4319-300495.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4320,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4320-774002.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4321,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4321-536215.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4322,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4322-871831.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4323,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 4323-130839.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4324,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4324-213123.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4325,"Theme: travel classification regression-suite multi-hop en-us; 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: 4325-887384.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4326,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4326-554862.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4327,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4327-599033.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4328,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4328-484618.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4329,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4329-751269.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4330,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4330-292435.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4331,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4331-255454.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4332,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4332-636474.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4333,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4333-809383.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4334,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4334-641190.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4335,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4335-167421.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4336,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4336-389787.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4337,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4337-392362.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4338,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4338-461405.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4339,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4339-508781.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4340,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4340-101554.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4341,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4341-484162.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4342,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4342-305219.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4343,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4343-191314.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4344,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 4344-174485.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4345,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4345-524072.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4346,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4346-413859.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4347,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4347-800941.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4348,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4348-808903.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4349,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4349-447193.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4350,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4350-979901.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4351,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4351-724941.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4352,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4352-328445.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4353,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4353-801391.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4354,"Theme: travel classification regression-suite multi-hop en-us; 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: 4354-436659.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4355,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4355-170205.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4356,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4356-153722.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4357,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4357-775558.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4358,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4358-514617.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4359,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4359-501211.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4360,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4360-325158.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4361,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4361-724531.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4362,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4362-435184.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4363,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4363-440840.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4364,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 4364-680012.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4365,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4365-207762.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4366,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 4366-914561.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4367,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4367-242707.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4368,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4368-741566.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4369,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4369-581973.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4370,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 4370-141970.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4371,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4371-514717.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4372,"Theme: travel classification regression-suite multi-hop en-us; 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: 4372-223654.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4373,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4373-587201.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4374,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4374-439546.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4375,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4375-747664.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4376,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4376-498190.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4377,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4377-111569.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4378,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4378-565373.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4379,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4379-804948.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4380,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4380-377782.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4381,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4381-275856.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4382,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4382-931690.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4383,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4383-171727.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4384,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4384-828252.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4385,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4385-939391.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4386,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4386-505754.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4387,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4387-421985.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4388,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4388-332836.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4389,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4389-845915.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4390,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 4390-956873.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4391,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4391-218675.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4392,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4392-579070.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4393,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4393-222356.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4394,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4394-406065.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4395,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4395-286032.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4396,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4396-806887.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4397,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4397-210124.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4398,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4398-156414.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4399,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4399-487594.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4400,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4400-294678.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4401,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4401-185997.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4402,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4402-968783.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4403,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4403-649738.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4404,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4404-739133.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4405,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4405-205048.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4406,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4406-904405.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4407,"Theme: travel classification regression-suite multi-hop en-us; 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: 4407-141237.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4408,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4408-279910.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4409,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4409-676743.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4410,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4410-920938.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4411,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4411-308818.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4412,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4412-563381.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4413,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4413-649522.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4414,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4414-161085.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4415,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4415-214754.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4416,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4416-745859.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4417,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4417-857870.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4418,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4418-764679.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4419,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4419-873438.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4420,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4420-518120.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4421,"Theme: travel classification regression-suite multi-hop en-us; 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: 4421-638397.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4422,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4422-592450.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4423,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4423-438571.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4424,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4424-644896.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4425,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4425-618175.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4426,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4426-218995.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4427,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4427-622398.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4428,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4428-996360.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4429,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4429-633767.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4430,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4430-137878.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4431,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 4431-821325.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4432,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4432-795519.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4433,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4433-565575.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4434,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4434-925541.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4435,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4435-775352.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4436,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4436-405107.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4437,"Theme: travel classification regression-suite multi-hop en-us; 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: 4437-149688.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4438,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4438-372280.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4439,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4439-825688.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4440,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4440-218597.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4441,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4441-524523.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4442,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4442-512685.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4443,"Theme: travel classification regression-suite multi-hop en-us; 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: 4443-870394.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4444,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4444-238079.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4445,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4445-762675.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4446,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4446-504092.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4447,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4447-436483.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4448,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 4448-582536.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4449,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4449-811176.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4450,"Theme: travel classification regression-suite multi-hop en-us; 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: 4450-302920.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4451,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 4451-122516.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4452,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4452-179000.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4453,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4453-992242.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4454,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4454-422234.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4455,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4455-997356.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4456,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4456-267645.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4457,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4457-442224.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4458,"Theme: travel classification regression-suite multi-hop en-us; 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: 4458-293336.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4459,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4459-398182.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4460,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4460-694908.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4461,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4461-748740.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4462,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4462-322584.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4463,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4463-540265.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4464,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4464-905753.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4465,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4465-344917.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4466,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4466-875975.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4467,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4467-599748.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4468,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4468-495609.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4469,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4469-189729.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4470,"Theme: travel classification regression-suite multi-hop en-us; 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: 4470-489225.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4471,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 4471-278445.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4472,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4472-342252.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4473,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4473-164842.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4474,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4474-393281.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4475,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 4475-423302.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4476,"Theme: travel classification regression-suite multi-hop en-us; 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: 4476-308842.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4477,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 4477-690273.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4478,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4478-571029.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4479,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4479-871572.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4480,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4480-141530.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4481,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4481-557814.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4482,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4482-355983.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4483,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4483-342384.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4484,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4484-989264.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4485,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4485-829764.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4486,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4486-899148.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4487,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4487-327002.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4488,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4488-126989.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4489,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4489-883713.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4490,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4490-182607.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4491,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4491-748605.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4492,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4492-743590.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4493,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4493-940840.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4494,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4494-862797.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4495,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4495-291535.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4496,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4496-970294.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4497,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4497-676294.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4498,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4498-330043.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4499,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 4499-756095.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4500,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4500-400794.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4501,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 4501-455009.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4502,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4502-404591.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4503,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4503-712678.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4504,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4504-106983.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4505,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4505-588155.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4506,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 4506-784060.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4507,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4507-713226.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4508,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4508-979135.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4509,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4509-952480.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4510,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4510-232446.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4511,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4511-500193.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4512,"Theme: travel classification regression-suite multi-hop en-us; 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: 4512-318651.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4513,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4513-147985.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4514,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4514-479295.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4515,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4515-606506.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4516,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4516-157921.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4517,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4517-935758.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4518,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4518-594103.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4519,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4519-659932.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4520,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4520-833243.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4521,"Theme: travel classification regression-suite multi-hop en-us; 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: 4521-102784.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4522,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4522-966385.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4523,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4523-697217.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4524,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 4524-533903.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4525,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4525-599057.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4526,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4526-321065.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4527,"Theme: travel classification regression-suite multi-hop en-us; 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: 4527-645336.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4528,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4528-604890.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4529,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4529-229183.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4530,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4530-896550.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4531,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4531-246791.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4532,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4532-253832.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4533,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4533-279135.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4534,"Theme: travel classification regression-suite multi-hop en-us; 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: 4534-793032.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4535,"Theme: travel classification regression-suite multi-hop en-us; 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: 4535-603263.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4536,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4536-370418.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4537,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4537-830565.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4538,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4538-625860.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4539,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4539-848332.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4540,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4540-133080.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4541,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4541-336420.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4542,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4542-753794.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4543,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4543-225437.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4544,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4544-728643.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4545,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4545-489096.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4546,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4546-725017.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4547,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4547-175214.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4548,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4548-279565.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4549,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4549-917797.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4550,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4550-366592.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4551,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4551-178745.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4552,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4552-858358.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4553,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4553-300631.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4554,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 4554-626695.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4555,"Theme: travel classification regression-suite multi-hop en-us; 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: 4555-227397.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4556,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4556-145601.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4557,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4557-135385.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4558,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4558-270134.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4559,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4559-670396.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4560,"Theme: travel classification regression-suite multi-hop en-us; 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: 4560-581488.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4561,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4561-712692.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4562,"Theme: travel classification regression-suite multi-hop en-us; 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: 4562-613309.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4563,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4563-192304.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4564,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 4564-393163.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4565,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4565-965419.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4566,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4566-271306.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4567,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4567-173901.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4568,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4568-575640.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4569,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4569-832147.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4570,"Theme: travel classification regression-suite multi-hop en-us; 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: 4570-920010.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4571,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4571-555255.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4572,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4572-665057.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4573,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4573-970583.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4574,"Theme: travel classification regression-suite multi-hop en-us; 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: 4574-349976.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4575,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4575-142201.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4576,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4576-461690.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4577,"Theme: travel classification regression-suite multi-hop en-us; 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: 4577-650976.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4578,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4578-953962.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4579,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4579-176653.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4580,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4580-597937.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4581,"Theme: travel classification regression-suite multi-hop en-us; 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: 4581-359981.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4582,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4582-224519.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4583,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4583-374334.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4584,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4584-486121.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4585,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4585-498606.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4586,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 4586-745420.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4587,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4587-614841.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4588,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4588-730903.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4589,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4589-123915.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4590,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4590-479420.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4591,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4591-132191.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4592,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4592-677463.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4593,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4593-659624.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4594,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4594-870544.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4595,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4595-135909.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4596,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4596-605790.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4597,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4597-478178.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4598,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4598-878156.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4599,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4599-873766.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4600,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4600-783633.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4601,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4601-774181.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4602,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4602-474031.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4603,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4603-434953.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4604,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4604-608267.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4605,"Theme: travel classification regression-suite multi-hop en-us; 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: 4605-657857.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4606,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4606-603367.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4607,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4607-291879.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4608,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4608-420418.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4609,"Theme: travel classification regression-suite multi-hop en-us; 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: 4609-676156.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4610,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 4610-961889.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4611,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 4611-140041.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4612,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4612-151227.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
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+4614,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4614-812741.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4615,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4615-481575.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4616,"Theme: travel classification regression-suite multi-hop en-us; 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: 4616-304021.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4617,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4617-209278.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4618,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4618-408523.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4619,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4619-758180.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4620,"Theme: travel classification regression-suite multi-hop en-us; 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: 4620-512070.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4621,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4621-829791.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4622,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4622-802225.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4623,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4623-683651.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4624,"Theme: travel classification regression-suite multi-hop en-us; 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: 4624-193781.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4625,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4625-145063.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4626,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4626-775535.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4627,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4627-759316.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4628,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4628-567559.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4629,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4629-521614.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4630,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4630-746131.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4631,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4631-595437.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4632,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4632-240641.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4633,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4633-616190.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4634,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4634-806294.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4635,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4635-323627.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4636,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4636-999548.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4637,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4637-698382.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4638,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4638-666573.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4639,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4639-504536.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4640,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4640-296183.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4641,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4641-986994.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4642,"Theme: travel classification regression-suite multi-hop en-us; 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: 4642-506610.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4643,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 4643-425672.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4644,"Theme: travel classification regression-suite multi-hop en-us; 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: 4644-737050.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4645,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4645-609583.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4646,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4646-223139.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4647,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4647-606332.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4648,"Theme: travel classification regression-suite multi-hop en-us; 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: 4648-764317.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4649,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 4649-943119.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4650,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4650-574162.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4651,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4651-403722.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4652,"Theme: travel classification regression-suite multi-hop en-us; 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: 4652-495880.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4653,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4653-223355.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4654,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4654-129691.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4655,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4655-259605.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4656,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4656-638583.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4657,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 4657-757492.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4658,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4658-926896.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4659,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4659-744165.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4660,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4660-632552.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4661,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4661-821375.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4662,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4662-907038.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4663,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4663-284621.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4664,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4664-405825.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4665,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4665-305512.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4666,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4666-278750.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4667,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4667-581960.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4668,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4668-392664.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4669,"Theme: travel classification regression-suite multi-hop en-us; 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: 4669-735638.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4670,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4670-266855.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4671,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4671-420637.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4672,"Theme: travel classification regression-suite multi-hop en-us; 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: 4672-222609.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4673,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4673-857634.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4674,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 4674-467164.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4675,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4675-635167.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4676,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4676-626148.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4677,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4677-407245.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4678,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 4678-587710.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4679,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4679-537759.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4680,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4680-739284.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4681,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4681-352370.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4682,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 4682-207648.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4683,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4683-790130.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4684,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4684-475691.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4685,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4685-447882.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4686,"Theme: travel classification regression-suite multi-hop en-us; 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: 4686-859722.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4687,"Theme: travel classification regression-suite multi-hop en-us; 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: 4687-951823.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4688,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4688-477779.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4689,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4689-969629.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4690,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4690-194731.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4691,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4691-587225.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4692,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4692-954897.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4693,"Theme: travel classification regression-suite multi-hop en-us; 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: 4693-282092.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4694,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 4694-465033.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4695,"Theme: travel classification regression-suite multi-hop en-us; 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: 4695-585809.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4696,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 4696-632651.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4697,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4697-674977.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4698,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4698-481136.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4699,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4699-277169.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4700,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4700-432302.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4701,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4701-419053.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4702,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4702-163517.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4703,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4703-946325.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4704,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4704-785204.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4705,"Theme: travel classification regression-suite multi-hop en-us; 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: 4705-202902.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4706,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4706-147400.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4707,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4707-978909.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4708,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 4708-111983.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4709,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4709-996827.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4710,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4710-415141.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4711,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4711-589126.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4712,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4712-223427.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4713,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4713-232674.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4714,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4714-748006.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4715,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4715-664875.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4716,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4716-503676.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4717,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4717-322324.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4718,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4718-230921.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4719,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 4719-158308.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4720,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4720-728021.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4721,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4721-168642.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4722,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4722-362116.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4723,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4723-121965.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4724,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4724-757799.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4725,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 4725-913761.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4726,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4726-306695.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4727,"Theme: travel classification regression-suite multi-hop en-us; 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: 4727-694989.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4728,"Theme: travel classification regression-suite multi-hop en-us; 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: 4728-888380.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4729,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4729-479082.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4730,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4730-814478.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4731,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4731-355191.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4732,"Theme: travel classification regression-suite multi-hop en-us; 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: 4732-183370.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4733,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4733-370365.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4734,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4734-975384.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4735,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4735-786727.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4736,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4736-399660.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4737,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4737-274901.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4738,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4738-313823.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4739,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4739-736772.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4740,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4740-538280.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4741,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4741-243466.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4742,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4742-365984.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4743,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4743-773247.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4744,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4744-625049.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4745,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 4745-830887.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4746,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4746-635908.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4747,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4747-919035.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4748,"Theme: travel classification regression-suite multi-hop en-us; 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: 4748-780127.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4749,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4749-544804.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4750,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4750-313756.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4751,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4751-249771.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4752,"Theme: travel classification regression-suite multi-hop en-us; 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: 4752-120823.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4753,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4753-906920.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4754,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4754-649246.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4755,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4755-785467.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4756,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4756-347595.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4757,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4757-706062.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4758,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 4758-572338.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4759,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 4759-237058.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4760,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4760-493632.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4761,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4761-786256.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4762,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4762-312409.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4763,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 4763-429104.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4764,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4764-359460.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4765,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4765-113385.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4766,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4766-810381.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4767,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4767-751892.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4768,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4768-220294.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4769,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4769-813554.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4770,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4770-726956.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4771,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4771-346677.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4772,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4772-764664.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4773,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4773-886666.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4774,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 4774-229022.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4775,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4775-663977.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4776,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4776-487239.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4777,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4777-334944.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4778,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4778-152461.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4779,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4779-222364.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4780,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4780-572142.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4781,"Theme: travel classification regression-suite multi-hop en-us; 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: 4781-835673.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4782,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4782-751946.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4783,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4783-729392.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4784,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4784-926756.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4785,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4785-648824.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4786,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4786-843835.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4787,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4787-414629.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4788,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4788-427304.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4789,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4789-701578.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4790,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4790-124683.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4791,"Theme: travel classification regression-suite multi-hop en-us; 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: 4791-980535.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4792,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4792-279529.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4793,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4793-871088.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4794,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4794-859716.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4795,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4795-702392.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4796,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4796-495158.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4797,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4797-362502.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4798,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4798-639939.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4799,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4799-675162.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4800,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4800-235061.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4801,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4801-292864.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4802,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4802-615453.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4803,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4803-797899.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4804,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4804-442457.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4805,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4805-722432.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4806,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4806-654339.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4807,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4807-568497.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4808,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4808-191367.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4809,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4809-909123.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4810,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4810-331897.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4811,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4811-369999.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4812,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 4812-575986.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4813,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4813-786598.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4814,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4814-822657.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4815,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4815-122593.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4816,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4816-663916.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4817,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4817-814901.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4818,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4818-853974.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4819,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4819-627498.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4820,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4820-528415.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4821,"Theme: travel classification regression-suite multi-hop en-us; 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: 4821-974542.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4822,"Theme: travel classification regression-suite multi-hop en-us; 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: 4822-677407.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4823,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4823-363136.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4824,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4824-660479.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4825,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4825-356314.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4826,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4826-119190.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4827,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4827-600519.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4828,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4828-740987.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4829,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4829-795836.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4830,"Theme: travel classification regression-suite multi-hop en-us; 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: 4830-154534.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4831,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4831-169275.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4832,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4832-117771.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4833,"Theme: travel classification regression-suite multi-hop en-us; 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: 4833-513149.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4834,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4834-511969.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4835,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4835-737342.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4836,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4836-919356.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4837,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4837-274167.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4838,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4838-251960.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4839,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4839-356235.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4840,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4840-794574.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4841,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4841-536642.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4842,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4842-994130.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4843,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 4843-312553.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4844,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4844-106771.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4845,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4845-169682.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4846,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4846-152462.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4847,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 4847-580183.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4848,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4848-678624.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4849,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4849-266790.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4850,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4850-739046.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4851,"Theme: travel classification regression-suite multi-hop en-us; 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: 4851-327897.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4852,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4852-772127.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4853,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4853-177619.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4854,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4854-596346.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4855,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4855-240220.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4856,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4856-793105.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4857,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4857-926187.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4858,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4858-960890.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4859,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4859-942993.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4860,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4860-169352.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4861,"Theme: travel classification regression-suite multi-hop en-us; 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: 4861-910270.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4862,"Theme: travel classification regression-suite multi-hop en-us; 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: 4862-361640.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4863,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4863-231285.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4864,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4864-999088.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4865,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4865-379167.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4866,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4866-263091.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4867,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4867-190563.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4868,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4868-122668.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4869,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 4869-861410.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4870,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4870-228438.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4871,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4871-853956.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4872,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4872-330613.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4873,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4873-650670.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4874,"Theme: travel classification regression-suite multi-hop en-us; 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: 4874-908415.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4875,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4875-235635.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4876,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4876-622460.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4877,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4877-190794.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4878,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4878-616509.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4879,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4879-278563.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4880,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4880-374125.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4881,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4881-453816.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4882,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4882-228978.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4883,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 4883-739475.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4884,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4884-156585.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4885,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4885-686931.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4886,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4886-197036.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4887,"Theme: travel classification regression-suite multi-hop en-us; 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: 4887-446668.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4888,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 4888-595110.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4889,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4889-520296.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4890,"Theme: travel classification regression-suite multi-hop en-us; 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: 4890-463021.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4891,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4891-543398.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4892,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4892-353402.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4893,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4893-398497.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4894,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4894-113972.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4895,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4895-196887.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4896,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4896-862389.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4897,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4897-268837.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4898,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4898-173323.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4899,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4899-714859.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4900,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 4900-685661.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4901,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4901-476819.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4902,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4902-165289.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4903,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4903-553503.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4904,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4904-855525.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4905,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 4905-294818.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4906,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 4906-570565.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4907,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4907-787161.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4908,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4908-696736.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4909,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4909-176881.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4910,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 4910-963288.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4911,"Theme: travel classification regression-suite multi-hop en-us; 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: 4911-914423.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4912,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4912-788213.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4913,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4913-284494.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4914,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4914-687005.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4915,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4915-674390.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4916,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4916-164983.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4917,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 4917-289201.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4918,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 4918-981620.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4919,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4919-820078.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4920,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 4920-236277.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4921,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4921-963342.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4922,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4922-766156.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4923,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4923-794127.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4924,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4924-861633.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4925,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4925-934771.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4926,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 4926-659669.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4927,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4927-247178.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4928,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4928-451995.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4929,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4929-198348.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4930,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4930-269263.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4931,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4931-380906.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4932,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4932-133558.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
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+4934,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4934-458693.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4935,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4935-724873.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4936,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 4936-519854.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4937,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4937-515199.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4938,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4938-966155.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
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+4941,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4941-524810.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4942,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4942-324329.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
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+4944,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4944-638314.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4945,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4945-596043.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
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+4947,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 4947-759167.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4948,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4948-970204.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4949,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4949-436752.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4950,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4950-695262.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4951,"Theme: travel classification regression-suite multi-hop en-us; 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: 4951-102939.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4952,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4952-119876.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4953,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4953-803433.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4954,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 4954-771025.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4955,"Theme: travel classification regression-suite multi-hop en-us; 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: 4955-150975.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4956,"Theme: travel classification regression-suite multi-hop en-us; 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: 4956-453071.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4957,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4957-836548.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4958,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4958-466123.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4959,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4959-947111.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4960,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4960-409489.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4961,"Theme: travel classification regression-suite multi-hop en-us; 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: 4961-456273.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4962,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4962-374081.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4963,"Theme: travel classification regression-suite multi-hop en-us; 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: 4963-714253.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4964,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 4964-730015.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4965,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4965-452161.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4966,"Theme: travel classification regression-suite multi-hop en-us; 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: 4966-717418.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4967,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4967-406076.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4968,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4968-696747.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4969,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4969-467780.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4970,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4970-899094.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4971,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4971-894586.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4972,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4972-528503.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4973,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4973-171282.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4974,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4974-967107.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4975,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4975-638485.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4976,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4976-568888.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4977,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4977-636543.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4978,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4978-214829.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4979,"Theme: travel classification regression-suite multi-hop en-us; 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: 4979-136751.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4980,"Theme: travel classification regression-suite multi-hop en-us; 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: 4980-132569.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4981,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4981-304416.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4982,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4982-313874.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4983,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 4983-464186.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+4984,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4984-184690.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4985,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4985-288535.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4986,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4986-210211.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4987,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 4987-424476.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4988,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4988-388285.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4989,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4989-221769.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4990,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4990-363157.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4991,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4991-469956.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+4992,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4992-991497.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+4993,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4993-471703.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4994,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4994-238666.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4995,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4995-513802.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+4996,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4996-110209.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+4997,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4997-664695.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
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+5000,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5000-195759.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5001,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5001-766027.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
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+5003,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5003-999206.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
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+5006,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5006-586834.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5007,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5007-596184.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
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+5010,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5010-866718.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5011,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5011-831458.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5012,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5012-765801.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5013,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5013-836398.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5014,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5014-793339.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5015,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5015-384826.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5016,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5016-278641.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5017,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 5017-332897.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5018,"Theme: travel classification regression-suite multi-hop en-us; 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: 5018-383407.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5019,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5019-373065.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5020,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5020-549916.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5021,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5021-168234.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5022,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5022-121864.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5023,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5023-642385.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5024,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5024-102494.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5025,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5025-146656.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5026,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5026-843746.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5027,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5027-828924.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5028,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5028-936937.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5029,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5029-935419.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5030,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5030-532366.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5031,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5031-187170.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5032,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5032-456932.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5033,"Theme: travel classification regression-suite multi-hop en-us; 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: 5033-167592.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
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+5035,"Theme: travel classification regression-suite multi-hop en-us; 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: 5035-213418.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5036,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5036-131291.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5037,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5037-843762.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5038,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5038-944814.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5039,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5039-850993.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5040,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5040-448821.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5041,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5041-699214.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5042,"Theme: travel classification regression-suite multi-hop en-us; 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: 5042-209716.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5043,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5043-126975.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5044,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5044-477558.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5045,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5045-397570.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5046,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5046-756747.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5047,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5047-278301.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5048,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5048-353253.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5049,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5049-773892.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5050,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5050-215228.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5051,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 5051-692390.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5052,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5052-716855.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5053,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5053-513476.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5054,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5054-423204.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5055,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 5055-312337.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5056,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5056-209226.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5057,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5057-992935.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5058,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 5058-942075.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5059,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5059-267146.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5060,"Theme: travel classification regression-suite multi-hop en-us; 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: 5060-158778.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5061,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5061-107920.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5062,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5062-359287.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
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+5065,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5065-970143.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
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+5067,"Theme: travel classification regression-suite multi-hop en-us; 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: 5067-767315.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
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+5069,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5069-706570.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5070,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5070-413892.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5071,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5071-840536.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5072,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5072-614181.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5073,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5073-742138.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5074,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5074-373601.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5075,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5075-717269.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5076,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5076-252729.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5077,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5077-692152.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5078,"Theme: travel classification regression-suite multi-hop en-us; 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: 5078-737885.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5079,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5079-268833.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5080,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5080-978755.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5081,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5081-935407.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5082,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 5082-794477.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5083,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5083-805132.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5084,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5084-110890.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5085,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5085-233112.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5086,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5086-298875.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5087,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5087-158612.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5088,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5088-668269.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5089,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5089-284873.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5090,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5090-443795.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5091,"Theme: travel classification regression-suite multi-hop en-us; 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: 5091-509255.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5092,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5092-534621.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5093,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5093-459809.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5094,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5094-535276.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5095,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5095-460928.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5096,"Theme: travel classification regression-suite multi-hop en-us; 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: 5096-902871.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5097,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5097-152568.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5098,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5098-455157.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5099,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5099-848256.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5100,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 5100-187074.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5101,"Theme: travel classification regression-suite multi-hop en-us; 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: 5101-384927.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5102,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5102-535676.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5103,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5103-180134.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5104,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5104-818874.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5105,"Theme: travel classification regression-suite multi-hop en-us; 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: 5105-319505.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5106,"Theme: travel classification regression-suite multi-hop en-us; 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: 5106-379754.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5107,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5107-682324.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5108,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5108-386412.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5109,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5109-807629.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5110,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5110-662087.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5111,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5111-268119.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5112,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 5112-365209.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5113,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5113-643314.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5114,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5114-433572.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5115,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5115-834437.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5116,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5116-113138.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5117,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5117-860320.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5118,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5118-488681.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5119,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5119-316936.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5120,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5120-434864.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5121,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5121-936128.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5122,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5122-822921.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5123,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5123-260404.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5124,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5124-629917.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5125,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5125-493790.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5126,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5126-742802.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5127,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 5127-810783.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5128,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5128-472355.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5129,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5129-168037.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5130,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5130-380089.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5131,"Theme: travel classification regression-suite multi-hop en-us; 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: 5131-974215.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5132,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5132-107372.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5133,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5133-729923.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5134,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5134-381336.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5135,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5135-980453.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5136,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5136-180590.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5137,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5137-633624.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5138,"Theme: travel classification regression-suite multi-hop en-us; 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: 5138-262831.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5139,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5139-932397.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5140,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5140-816123.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5141,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5141-366240.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5142,"Theme: travel classification regression-suite multi-hop en-us; 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: 5142-129762.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5143,"Theme: travel classification regression-suite multi-hop en-us; 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: 5143-330343.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5144,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5144-873039.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5145,"Theme: travel classification regression-suite multi-hop en-us; 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: 5145-543002.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5146,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5146-591551.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5147,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5147-520090.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5148,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5148-234499.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5149,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5149-682867.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5150,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 5150-915986.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5151,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5151-271034.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5152,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5152-599178.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5153,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5153-690806.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5154,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5154-765151.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5155,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5155-283438.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5156,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5156-606458.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5157,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5157-458740.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5158,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5158-285382.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5159,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5159-225091.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5160,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5160-477764.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5161,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5161-312848.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5162,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5162-454302.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5163,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5163-527814.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5164,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 5164-124461.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5165,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5165-738915.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5166,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5166-451377.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5167,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5167-337892.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5168,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5168-269036.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5169,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5169-110802.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5170,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 5170-186661.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5171,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5171-990678.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5172,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5172-512760.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5173,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5173-707253.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5174,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5174-871592.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5175,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5175-969369.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5176,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5176-962941.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5177,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5177-937950.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5178,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5178-916482.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5179,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5179-890377.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5180,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5180-959105.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5181,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5181-883116.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5182,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5182-478668.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5183,"Theme: travel classification regression-suite multi-hop en-us; 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: 5183-621661.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5184,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5184-553420.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5185,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5185-188447.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5186,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5186-697313.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5187,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5187-166493.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5188,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5188-229207.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5189,"Theme: travel classification regression-suite multi-hop en-us; 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: 5189-676810.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5190,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5190-344857.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5191,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5191-990174.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5192,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5192-941092.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5193,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 5193-197764.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5194,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5194-318308.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5195,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5195-997521.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5196,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5196-785782.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
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+5198,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5198-569277.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5199,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5199-135549.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5200,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5200-289207.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5201,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5201-596875.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5202,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5202-706810.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5203,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5203-417742.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5204,"Theme: travel classification regression-suite multi-hop en-us; 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: 5204-599887.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5205,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5205-146934.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5206,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 5206-453795.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5207,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5207-259557.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5208,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5208-313455.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5209,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5209-153142.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5210,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5210-401213.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5211,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5211-954319.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5212,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5212-852518.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5213,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5213-774422.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5214,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5214-825776.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5215,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5215-587768.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5216,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5216-167131.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5217,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5217-460065.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5218,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5218-475261.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5219,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5219-487047.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5220,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5220-822889.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5221,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5221-316365.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5222,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5222-789307.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5223,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5223-889230.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5224,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5224-762551.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5225,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5225-103061.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5226,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5226-546251.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5227,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5227-967040.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5228,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 5228-757010.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5229,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5229-475045.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5230,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5230-331926.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5231,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5231-125809.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5232,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5232-817785.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5233,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5233-852596.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5234,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5234-352426.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5235,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5235-852406.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5236,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5236-267019.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5237,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5237-210404.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5238,"Theme: travel classification regression-suite multi-hop en-us; 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: 5238-579846.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5239,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5239-657259.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5240,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5240-992464.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5241,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5241-199535.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5242,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5242-916634.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5243,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5243-319267.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5244,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5244-638294.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5245,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 5245-357412.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5246,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 5246-188805.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5247,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5247-458239.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5248,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5248-276831.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5249,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5249-603001.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5250,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 5250-159442.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5251,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5251-820657.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5252,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5252-969172.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5253,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5253-872810.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5254,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5254-682981.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5255,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5255-877930.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5256,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5256-881274.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5257,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5257-527822.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5258,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5258-162768.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5259,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5259-137340.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5260,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5260-927644.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5261,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5261-360275.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5262,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5262-281225.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
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+5266,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5266-115876.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5267,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5267-458589.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5268,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 5268-686613.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5269,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5269-233983.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5270,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 5270-777425.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5271,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5271-886748.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5272,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5272-816667.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5273,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5273-340575.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5274,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5274-292312.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5275,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5275-471987.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5276,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5276-257106.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5277,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5277-125159.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5278,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5278-651607.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5279,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5279-469990.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5280,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5280-190685.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5281,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5281-172786.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5282,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5282-353318.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5283,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5283-421413.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5284,"Theme: travel classification regression-suite multi-hop en-us; 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: 5284-333880.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5285,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5285-188139.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5286,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5286-116045.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5287,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5287-903832.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5288,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5288-295664.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5289,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5289-657549.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5290,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5290-275491.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5291,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5291-438921.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5292,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5292-674856.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5293,"Theme: travel classification regression-suite multi-hop en-us; 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: 5293-386702.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5294,"Theme: travel classification regression-suite multi-hop en-us; 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: 5294-343430.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5295,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 5295-899747.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5296,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5296-510857.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5297,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5297-624786.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5298,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5298-346777.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5299,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5299-360639.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5300,"Theme: travel classification regression-suite multi-hop en-us; 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: 5300-666500.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5301,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5301-638196.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5302,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5302-855931.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5303,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5303-267277.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5304,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5304-424376.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5305,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5305-827378.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5306,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5306-383887.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5307,"Theme: travel classification regression-suite multi-hop en-us; 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: 5307-538091.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5308,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5308-854196.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5309,"Theme: travel classification regression-suite multi-hop en-us; 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: 5309-943503.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5310,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5310-511697.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5311,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5311-465148.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5312,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5312-329734.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5313,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5313-221382.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5314,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5314-576303.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5315,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5315-960055.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5316,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5316-672216.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5317,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5317-763860.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5318,"Theme: travel classification regression-suite multi-hop en-us; 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: 5318-907667.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5319,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5319-790050.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5320,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5320-635060.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5321,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 5321-212758.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5322,"Theme: travel classification regression-suite multi-hop en-us; 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: 5322-894092.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5323,"Theme: travel classification regression-suite multi-hop en-us; 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: 5323-385643.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5324,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5324-661475.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5325,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5325-483278.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5326,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5326-192529.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
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+5328,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5328-287020.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5329,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5329-523457.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5330,"Theme: travel classification regression-suite multi-hop en-us; 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: 5330-366255.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5331,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5331-819378.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5332,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5332-242172.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5333,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5333-654831.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5334,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5334-358835.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5335,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5335-952067.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5336,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5336-324998.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5337,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5337-270619.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5338,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5338-707242.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5339,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5339-566382.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5340,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5340-185550.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5341,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5341-207200.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5342,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5342-861782.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5343,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5343-446477.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5344,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5344-263526.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5345,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5345-575621.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5346,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5346-695013.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5347,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5347-775104.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5348,"Theme: travel classification regression-suite multi-hop en-us; 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: 5348-876644.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5349,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5349-894752.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5350,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5350-862990.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5351,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5351-357579.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5352,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5352-881618.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5353,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5353-667570.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5354,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5354-769034.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5355,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5355-413995.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5356,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5356-323978.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5357,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5357-414682.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5358,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5358-493131.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5359,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5359-640230.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5360,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5360-637523.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5361,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5361-950517.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5362,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5362-948814.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5363,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5363-713244.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5364,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5364-368247.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5365,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5365-726520.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5366,"Theme: travel classification regression-suite multi-hop en-us; 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: 5366-346017.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5367,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5367-686624.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5368,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5368-217733.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
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+5370,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5370-329809.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5371,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5371-673158.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5372,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5372-359599.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5373,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 5373-406483.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5374,"Theme: travel classification regression-suite multi-hop en-us; 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: 5374-532567.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5375,"Theme: travel classification regression-suite multi-hop en-us; 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: 5375-991295.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5376,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 5376-112490.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5377,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5377-202795.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5378,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5378-454308.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5379,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5379-530337.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5380,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5380-778510.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5381,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5381-205574.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5382,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5382-421043.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5383,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5383-893195.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5384,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5384-507752.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5385,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5385-851473.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5386,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5386-356838.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5387,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5387-347792.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5388,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5388-502551.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5389,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5389-277254.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5390,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5390-922029.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5391,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5391-618988.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5392,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5392-283880.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5393,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5393-781439.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5394,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5394-971912.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5395,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5395-697653.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5396,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5396-281195.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5397,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5397-317143.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5398,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5398-690911.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5399,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5399-599641.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5400,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 5400-837990.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5401,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5401-253710.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5402,"Theme: travel classification regression-suite multi-hop en-us; 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: 5402-588458.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5403,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5403-151918.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5404,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5404-808795.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5405,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5405-975613.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5406,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5406-602291.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5407,"Theme: travel classification regression-suite multi-hop en-us; 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: 5407-789454.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5408,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5408-770029.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5409,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5409-671978.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5410,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5410-597737.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5411,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5411-267419.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5412,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5412-652887.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5413,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5413-757166.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5414,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5414-171107.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5415,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5415-266268.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5416,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 5416-672700.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5417,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5417-778305.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5418,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5418-820630.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5419,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5419-912003.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5420,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5420-402637.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5421,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5421-734484.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5422,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5422-260584.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5423,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5423-716951.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5424,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5424-909473.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5425,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5425-537322.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5426,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5426-192935.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5427,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5427-339650.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5428,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5428-142008.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5429,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5429-755570.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5430,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 5430-744116.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5431,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5431-321193.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5432,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5432-621598.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5433,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5433-540130.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5434,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 5434-626121.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5435,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5435-829807.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5436,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5436-509655.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5437,"Theme: travel classification regression-suite multi-hop en-us; 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: 5437-421537.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5438,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5438-568385.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5439,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5439-222109.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5440,"Theme: travel classification regression-suite multi-hop en-us; 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: 5440-169040.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5441,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5441-425761.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5442,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5442-186809.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5443,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5443-167508.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5444,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5444-736713.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5445,"Theme: travel classification regression-suite multi-hop en-us; 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: 5445-816922.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5446,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5446-123888.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5447,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5447-923491.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5448,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5448-181738.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5449,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5449-719798.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5450,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5450-960894.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5451,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5451-576373.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5452,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 5452-243469.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5453,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5453-434403.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5454,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5454-957205.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5455,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5455-347385.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5456,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5456-616995.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5457,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5457-929965.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5458,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5458-430792.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5459,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 5459-423209.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5460,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5460-178990.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5461,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5461-714803.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5462,"Theme: travel classification regression-suite multi-hop en-us; 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: 5462-361087.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5463,"Theme: travel classification regression-suite multi-hop en-us; 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: 5463-180039.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5464,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5464-653032.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5465,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5465-702531.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5466,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5466-250436.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5467,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5467-372582.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5468,"Theme: travel classification regression-suite multi-hop en-us; 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: 5468-142506.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5469,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5469-120339.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5470,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5470-435884.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5471,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5471-962711.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5472,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5472-124059.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5473,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5473-737979.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5474,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5474-561291.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5475,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5475-568212.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5476,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5476-769137.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5477,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5477-429750.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5478,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5478-621595.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5479,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5479-869529.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5480,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5480-716933.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5481,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5481-300430.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5482,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5482-565408.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5483,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5483-447608.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5484,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5484-829912.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5485,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5485-949995.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5486,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5486-587142.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5487,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5487-828419.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5488,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5488-292842.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5489,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5489-119041.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5490,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5490-664841.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5491,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5491-974306.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5492,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5492-693073.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5493,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5493-601244.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5494,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5494-268959.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5495,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5495-969198.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5496,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5496-117785.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5497,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5497-875997.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5498,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5498-281251.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5499,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5499-488731.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5500,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5500-756257.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5501,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5501-689248.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5502,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5502-170342.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5503,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5503-694090.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5504,"Theme: travel classification regression-suite multi-hop en-us; 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: 5504-294131.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5505,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5505-771727.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5506,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5506-869617.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5507,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5507-390018.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5508,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5508-596795.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5509,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5509-656368.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5510,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5510-168888.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5511,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5511-659931.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5512,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5512-955841.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5513,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5513-924078.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5514,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5514-419121.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5515,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5515-463964.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5516,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5516-282984.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5517,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5517-745704.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5518,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5518-720495.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5519,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5519-520646.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5520,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5520-816485.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5521,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5521-524241.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5522,"Theme: travel classification regression-suite multi-hop en-us; 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: 5522-714733.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5523,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5523-796801.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5524,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5524-832116.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5525,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5525-832133.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5526,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5526-510808.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5527,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5527-565157.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5528,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5528-501316.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5529,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5529-872136.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5530,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5530-156749.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5531,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5531-873692.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5532,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 5532-341554.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5533,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5533-761768.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5534,"Theme: travel classification regression-suite multi-hop en-us; 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: 5534-971035.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5535,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5535-167384.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5536,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5536-876023.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5537,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5537-166249.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5538,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5538-115708.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5539,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5539-617378.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5540,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5540-843691.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5541,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 5541-221368.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5542,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5542-861025.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5543,"Theme: travel classification regression-suite multi-hop en-us; 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: 5543-587435.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5544,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5544-564414.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5545,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5545-473573.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5546,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5546-890336.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5547,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5547-754207.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5548,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5548-389942.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5549,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5549-705170.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5550,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5550-233241.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5551,"Theme: travel classification regression-suite multi-hop en-us; 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: 5551-630098.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5552,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5552-270645.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5553,"Theme: travel classification regression-suite multi-hop en-us; 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: 5553-949331.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5554,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5554-985889.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5555,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5555-612314.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5556,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5556-640426.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5557,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5557-574682.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5558,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5558-854346.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5559,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5559-715561.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5560,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5560-796672.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5561,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5561-766051.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5562,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5562-702357.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5563,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5563-674897.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5564,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5564-183804.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5565,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5565-555934.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5566,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5566-676682.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5567,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5567-458726.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5568,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5568-477540.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5569,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5569-643397.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5570,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5570-927921.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5571,"Theme: travel classification regression-suite multi-hop en-us; 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: 5571-145877.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5572,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5572-913136.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5573,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5573-648144.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5574,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5574-205557.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5575,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 5575-770288.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5576,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5576-572338.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5577,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5577-277208.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5578,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5578-693853.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5579,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5579-609135.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5580,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5580-973385.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5581,"Theme: travel classification regression-suite multi-hop en-us; 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: 5581-886968.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5582,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5582-993987.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5583,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5583-717573.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5584,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5584-560290.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5585,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5585-493499.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5586,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5586-446514.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5587,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5587-409594.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5588,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5588-616798.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5589,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5589-192312.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5590,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5590-833012.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5591,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5591-238929.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5592,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5592-779786.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5593,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5593-916100.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5594,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5594-693700.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5595,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5595-263792.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5596,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5596-576142.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5597,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5597-949568.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5598,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5598-399605.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5599,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5599-783699.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5600,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5600-915760.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5601,"Theme: travel classification regression-suite multi-hop en-us; 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: 5601-905414.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5602,"Theme: travel classification regression-suite multi-hop en-us; 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: 5602-874593.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5603,"Theme: travel classification regression-suite multi-hop en-us; 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: 5603-954613.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5604,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5604-774000.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5605,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5605-850296.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5606,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5606-866960.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5607,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5607-290304.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5608,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5608-791689.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5609,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5609-399203.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5610,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5610-355053.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5611,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5611-259822.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5612,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5612-238297.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5613,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 5613-196909.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5614,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 5614-295270.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5615,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5615-158888.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5616,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5616-624888.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5617,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5617-997786.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5618,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5618-675342.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5619,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5619-808816.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5620,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5620-249749.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5621,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5621-330813.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5622,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 5622-965441.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5623,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 5623-777698.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5624,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5624-131340.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5625,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5625-891027.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5626,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5626-750367.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5627,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5627-410573.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5628,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5628-120669.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5629,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5629-587501.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5630,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5630-413486.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5631,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5631-925411.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5632,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5632-527145.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5633,"Theme: travel classification regression-suite multi-hop en-us; 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: 5633-486447.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5634,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5634-386825.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5635,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5635-365821.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5636,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5636-742381.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5637,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5637-363220.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5638,"Theme: travel classification regression-suite multi-hop en-us; 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: 5638-919617.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5639,"Theme: travel classification regression-suite multi-hop en-us; 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: 5639-730484.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5640,"Theme: travel classification regression-suite multi-hop en-us; 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: 5640-240771.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5641,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5641-502305.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5642,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5642-452839.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5643,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5643-495885.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5644,"Theme: travel classification regression-suite multi-hop en-us; 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: 5644-935730.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5645,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5645-290885.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5646,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5646-233670.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5647,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5647-500659.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5648,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5648-145397.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5649,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5649-954606.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
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+5651,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5651-778475.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5652,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5652-711990.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5653,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5653-200533.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5654,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5654-598039.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5655,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5655-762654.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5656,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5656-966156.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5657,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5657-462166.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5658,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5658-253483.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
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+5660,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5660-136497.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5661,"Theme: travel classification regression-suite multi-hop en-us; 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: 5661-291415.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5662,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5662-426573.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5663,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5663-978445.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5664,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5664-410159.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5665,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5665-162950.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5666,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5666-420053.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5667,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5667-782146.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5668,"Theme: travel classification regression-suite multi-hop en-us; 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: 5668-513445.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5669,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5669-917916.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5670,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5670-520288.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5671,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5671-318896.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5672,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5672-334716.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5673,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 5673-218889.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5674,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5674-662069.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5675,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5675-894410.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5676,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5676-367523.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5677,"Theme: travel classification regression-suite multi-hop en-us; 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: 5677-579723.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5678,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5678-511441.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5679,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5679-209137.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5680,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5680-246841.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5681,"Theme: travel classification regression-suite multi-hop en-us; 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: 5681-417804.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5682,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5682-938623.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5683,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5683-758166.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5684,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5684-948521.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5685,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 5685-695034.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
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+5687,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5687-264454.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5688,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5688-171491.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5689,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5689-857028.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
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+5691,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5691-727349.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5692,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5692-455867.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5693,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 5693-694050.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5694,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5694-720882.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5695,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5695-931848.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5696,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5696-452833.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5697,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5697-326670.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5698,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5698-729913.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5699,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5699-386425.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5700,"Theme: travel classification regression-suite multi-hop en-us; 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: 5700-850390.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5701,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5701-963786.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5702,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5702-359416.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5703,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5703-859952.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5704,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5704-884237.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5705,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5705-305104.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5706,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5706-800368.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5707,"Theme: travel classification regression-suite multi-hop en-us; 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: 5707-926374.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5708,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5708-143765.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5709,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 5709-545652.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5710,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5710-545736.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5711,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5711-838650.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5712,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5712-272459.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5713,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 5713-786607.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5714,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5714-808448.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5715,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 5715-805891.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5716,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5716-614464.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5717,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5717-329343.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5718,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5718-657686.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5719,"Theme: travel classification regression-suite multi-hop en-us; 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: 5719-277555.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5720,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5720-358378.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5721,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5721-451849.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5722,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5722-513269.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5723,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5723-214829.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5724,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5724-216089.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5725,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5725-671964.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5726,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5726-378665.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5727,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5727-553840.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5728,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5728-138597.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5729,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5729-966618.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5730,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5730-610677.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5731,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5731-885366.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5732,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5732-537033.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5733,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5733-122673.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5734,"Theme: travel classification regression-suite multi-hop en-us; 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: 5734-417587.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5735,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5735-437211.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5736,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5736-144277.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5737,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5737-746228.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5738,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5738-733999.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5739,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5739-519698.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5740,"Theme: travel classification regression-suite multi-hop en-us; 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: 5740-300298.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5741,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5741-205409.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5742,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5742-456211.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5743,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5743-858500.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5744,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 5744-295062.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5745,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5745-291152.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5746,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5746-915643.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5747,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5747-653661.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5748,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5748-576421.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5749,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5749-768460.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5750,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5750-987769.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5751,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5751-800049.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5752,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5752-281804.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5753,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5753-253081.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5754,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5754-347545.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5755,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 5755-921255.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5756,"Theme: travel classification regression-suite multi-hop en-us; 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: 5756-706076.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5757,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5757-570369.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5758,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5758-465635.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5759,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5759-832709.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5760,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5760-852326.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5761,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5761-361286.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5762,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5762-248230.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5763,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5763-547507.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5764,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5764-984362.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5765,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5765-581526.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5766,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5766-493444.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5767,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5767-425873.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5768,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5768-718810.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5769,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5769-429825.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5770,"Theme: travel classification regression-suite multi-hop en-us; 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: 5770-765301.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5771,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5771-556865.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5772,"Theme: travel classification regression-suite multi-hop en-us; 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: 5772-956991.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5773,"Theme: travel classification regression-suite multi-hop en-us; 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: 5773-205349.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5774,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5774-920704.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5775,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5775-324656.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5776,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5776-229560.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5777,"Theme: travel classification regression-suite multi-hop en-us; 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: 5777-557763.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5778,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5778-556241.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5779,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5779-315582.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5780,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5780-949421.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5781,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 5781-495223.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5782,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5782-731635.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5783,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5783-706642.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5784,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5784-134648.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5785,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5785-629946.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5786,"Theme: travel classification regression-suite multi-hop en-us; 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: 5786-723565.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5787,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 5787-614269.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5788,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5788-407060.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5789,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5789-888743.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5790,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5790-938045.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5791,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5791-482614.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5792,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5792-964802.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5793,"Theme: travel classification regression-suite multi-hop en-us; 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: 5793-850952.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5794,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5794-162390.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5795,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5795-447383.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5796,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5796-191118.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5797,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5797-907984.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5798,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5798-784855.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5799,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5799-572099.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5800,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5800-908292.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5801,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5801-227591.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5802,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5802-265311.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5803,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5803-837430.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5804,"Theme: travel classification regression-suite multi-hop en-us; 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: 5804-641728.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5805,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5805-587257.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5806,"Theme: travel classification regression-suite multi-hop en-us; 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: 5806-270964.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5807,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5807-126198.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5808,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5808-188368.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5809,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5809-487290.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5810,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5810-437005.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5811,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5811-938948.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5812,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5812-807666.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5813,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5813-741671.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5814,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5814-251505.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5815,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5815-179463.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5816,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5816-170588.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5817,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5817-244379.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5818,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5818-539534.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5819,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5819-916179.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5820,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5820-394264.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5821,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5821-509058.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5822,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5822-518342.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5823,"Theme: travel classification regression-suite multi-hop en-us; 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: 5823-933645.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5824,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5824-437940.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5825,"Theme: travel classification regression-suite multi-hop en-us; 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: 5825-324531.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5826,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5826-413839.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5827,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 5827-919163.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5828,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5828-762813.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5829,"Theme: travel classification regression-suite multi-hop en-us; 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: 5829-727534.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5830,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5830-943151.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5831,"Theme: travel classification regression-suite multi-hop en-us; 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: 5831-423976.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5832,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5832-505877.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5833,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5833-567913.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5834,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5834-433392.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5835,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5835-356108.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5836,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5836-280966.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5837,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5837-856618.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5838,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5838-861956.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5839,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5839-186312.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
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+5841,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5841-788300.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5842,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5842-849824.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5843,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5843-663163.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5844,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5844-138859.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5845,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5845-815214.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5846,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5846-309941.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5847,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5847-248296.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5848,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5848-307953.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5849,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5849-268575.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
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+5851,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5851-906026.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5852,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5852-833067.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5853,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5853-790397.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5854,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5854-212419.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5855,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5855-183380.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5856,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5856-441824.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5857,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5857-460058.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5858,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5858-645065.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5859,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5859-564244.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5860,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5860-515236.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5861,"Theme: travel classification regression-suite multi-hop en-us; 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: 5861-259709.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5862,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5862-281163.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5863,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5863-521906.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5864,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5864-636727.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5865,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5865-946542.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5866,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5866-972481.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5867,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5867-222141.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5868,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5868-744973.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5869,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5869-762122.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5870,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5870-809785.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5871,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5871-189598.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5872,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 5872-340090.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5873,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5873-211791.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5874,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5874-698784.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5875,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5875-994805.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5876,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5876-662195.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5877,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 5877-249780.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5878,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5878-364700.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5879,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5879-679665.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5880,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5880-775287.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5881,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 5881-839202.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5882,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5882-927153.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5883,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5883-611648.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5884,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5884-522732.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5885,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5885-285214.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5886,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5886-429136.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5887,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5887-552368.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5888,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5888-348157.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5889,"Theme: travel classification regression-suite multi-hop en-us; 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: 5889-374044.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5890,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5890-486280.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5891,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5891-211231.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5892,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5892-455092.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5893,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5893-621352.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5894,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5894-200554.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5895,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5895-804874.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5896,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5896-949770.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5897,"Theme: travel classification regression-suite multi-hop en-us; 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: 5897-439510.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5898,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5898-341742.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5899,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5899-962763.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5900,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5900-727257.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5901,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5901-383551.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5902,"Theme: travel classification regression-suite multi-hop en-us; 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: 5902-722943.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5903,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5903-397933.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5904,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5904-833644.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5905,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5905-770071.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5906,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 5906-680367.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5907,"Theme: travel classification regression-suite multi-hop en-us; 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: 5907-205419.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5908,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5908-201769.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5909,"Theme: travel classification regression-suite multi-hop en-us; 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: 5909-253225.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5910,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5910-894607.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5911,"Theme: travel classification regression-suite multi-hop en-us; 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: 5911-814850.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5912,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5912-911637.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5913,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5913-752158.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5914,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5914-255446.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5915,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5915-588119.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5916,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5916-904461.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5917,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5917-305154.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5918,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 5918-882485.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5919,"Theme: travel classification regression-suite multi-hop en-us; 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: 5919-508305.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5920,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 5920-648170.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5921,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5921-475340.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5922,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5922-699238.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5923,"Theme: travel classification regression-suite multi-hop en-us; 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: 5923-451425.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5924,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5924-785134.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5925,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5925-978885.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5926,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5926-550432.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5927,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5927-185561.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5928,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5928-877925.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5929,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5929-314125.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5930,"Theme: travel classification regression-suite multi-hop en-us; 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: 5930-698351.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5931,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5931-760628.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5932,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5932-261893.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5933,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5933-692974.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5934,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5934-465605.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5935,"Theme: travel classification regression-suite multi-hop en-us; 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: 5935-469241.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5936,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5936-707946.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5937,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5937-221052.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5938,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5938-567034.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5939,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5939-686563.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5940,"Theme: travel classification regression-suite multi-hop en-us; 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: 5940-257522.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5941,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5941-932742.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5942,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5942-387714.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5943,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5943-563308.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5944,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5944-869175.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5945,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5945-220203.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5946,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5946-711025.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5947,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5947-963441.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5948,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5948-593821.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5949,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5949-403163.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5950,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5950-823485.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5951,"Theme: travel classification regression-suite multi-hop en-us; 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: 5951-717416.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5952,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 5952-799424.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5953,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5953-345381.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5954,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5954-540621.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5955,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5955-768088.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5956,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5956-268296.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5957,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5957-704027.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5958,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5958-170956.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5959,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5959-753545.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5960,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5960-475764.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5961,"Theme: travel classification regression-suite multi-hop en-us; 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: 5961-922932.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5962,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5962-198078.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5963,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5963-778491.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5964,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 5964-668114.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5965,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5965-527817.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5966,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5966-229530.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5967,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5967-949587.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5968,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5968-302952.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5969,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5969-549971.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5970,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5970-801044.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5971,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5971-757624.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5972,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5972-173369.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5973,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5973-908914.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5974,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5974-589818.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5975,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5975-566343.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5976,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5976-107628.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5977,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5977-313547.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5978,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5978-275812.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5979,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5979-867588.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5980,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5980-160325.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5981,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5981-462048.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5982,"Theme: travel classification regression-suite multi-hop en-us; 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: 5982-600311.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5983,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5983-961222.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5984,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5984-864558.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5985,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5985-194995.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5986,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5986-657668.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5987,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5987-292558.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5988,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5988-112808.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5989,"Theme: travel classification regression-suite multi-hop en-us; 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: 5989-893151.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+5990,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5990-758590.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5991,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5991-537483.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5992,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5992-469232.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+5993,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 5993-423481.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5994,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5994-440148.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5995,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5995-677301.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+5996,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5996-309082.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5997,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5997-123272.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+5998,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5998-932237.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+5999,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5999-155082.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6000,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6000-962249.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6001,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6001-768117.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6002,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6002-716643.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6003,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6003-734673.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6004,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6004-677897.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6005,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6005-766065.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6006,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6006-333394.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6007,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6007-455007.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6008,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6008-459226.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6009,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6009-423127.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6010,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6010-304613.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6011,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6011-776981.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6012,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6012-878508.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6013,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6013-769328.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6014,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6014-304180.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6015,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6015-563035.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6016,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6016-311483.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6017,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6017-359883.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6018,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6018-657207.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6019,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6019-973558.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6020,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6020-161489.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6021,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6021-503556.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6022,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 6022-605570.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6023,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6023-444084.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6024,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6024-335418.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6025,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6025-893858.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6026,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 6026-898850.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6027,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6027-505300.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6028,"Theme: travel classification regression-suite multi-hop en-us; 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: 6028-601625.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6029,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6029-386765.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6030,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6030-713203.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6031,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6031-121258.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6032,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6032-734219.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6033,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6033-447011.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6034,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6034-778682.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6035,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6035-164115.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6036,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6036-638714.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6037,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6037-186741.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6038,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6038-637883.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6039,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6039-744090.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6040,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6040-123415.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6041,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6041-396796.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6042,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6042-396568.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6043,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6043-667778.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6044,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6044-601392.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6045,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6045-961276.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6046,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6046-423887.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6047,"Theme: travel classification regression-suite multi-hop en-us; 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: 6047-674871.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6048,"Theme: travel classification regression-suite multi-hop en-us; 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: 6048-566059.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6049,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6049-314325.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6050,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6050-493647.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6051,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6051-367544.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6052,"Theme: travel classification regression-suite multi-hop en-us; 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: 6052-547307.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6053,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6053-935396.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6054,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6054-159053.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6055,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6055-846229.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6056,"Theme: travel classification regression-suite multi-hop en-us; 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: 6056-514010.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6057,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6057-840952.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6058,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6058-780024.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6059,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6059-316935.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6060,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6060-172680.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6061,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6061-551798.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6062,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6062-489305.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6063,"Theme: travel classification regression-suite multi-hop en-us; 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: 6063-597445.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6064,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6064-741151.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6065,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6065-306353.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6066,"Theme: travel classification regression-suite multi-hop en-us; 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: 6066-959060.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6067,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6067-157039.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6068,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 6068-765307.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6069,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6069-722888.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6070,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 6070-383316.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6071,"Theme: travel classification regression-suite multi-hop en-us; 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: 6071-291827.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6072,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6072-858407.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6073,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6073-426363.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6074,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 6074-617076.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6075,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6075-929567.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6076,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6076-706858.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6077,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6077-499698.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6078,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6078-658758.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6079,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6079-891257.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6080,"Theme: travel classification regression-suite multi-hop en-us; 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: 6080-849037.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6081,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6081-315563.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6082,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6082-904892.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6083,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6083-856603.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6084,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6084-988062.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6085,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6085-298637.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6086,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6086-263277.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6087,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6087-157548.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6088,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6088-610245.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6089,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6089-674691.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6090,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 6090-299050.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6091,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 6091-884488.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6092,"Theme: travel classification regression-suite multi-hop en-us; 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: 6092-264373.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6093,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6093-139050.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6094,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6094-221113.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6095,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6095-408558.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6096,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6096-743274.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6097,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6097-914867.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6098,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6098-798810.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6099,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 6099-716531.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6100,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6100-879441.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6101,"Theme: travel classification regression-suite multi-hop en-us; 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: 6101-893238.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6102,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6102-766017.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6103,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6103-867371.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6104,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6104-467508.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6105,"Theme: travel classification regression-suite multi-hop en-us; 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: 6105-139089.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6106,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6106-482569.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6107,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6107-202847.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6108,"Theme: travel classification regression-suite multi-hop en-us; 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: 6108-254593.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6109,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6109-494862.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6110,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6110-609602.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6111,"Theme: travel classification regression-suite multi-hop en-us; 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: 6111-108620.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6112,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6112-545734.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6113,"Theme: travel classification regression-suite multi-hop en-us; 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: 6113-534787.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6114,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6114-295373.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6115,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 6115-896404.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6116,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6116-988319.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6117,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6117-103901.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6118,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6118-581950.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6119,"Theme: travel classification regression-suite multi-hop en-us; 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: 6119-852674.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6120,"Theme: travel classification regression-suite multi-hop en-us; 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: 6120-679870.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6121,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6121-193365.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6122,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6122-160940.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6123,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6123-334247.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6124,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6124-174193.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6125,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6125-245634.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6126,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6126-604051.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6127,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6127-651816.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6128,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6128-220418.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6129,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6129-786795.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6130,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6130-824637.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6131,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6131-389928.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6132,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6132-910099.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6133,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6133-136939.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6134,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6134-136045.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6135,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6135-878801.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6136,"Theme: travel classification regression-suite multi-hop en-us; 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: 6136-411539.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6137,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6137-206036.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6138,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6138-384667.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6139,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6139-104742.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6140,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6140-425920.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6141,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6141-210779.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6142,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6142-763420.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6143,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 6143-383935.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6144,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6144-724584.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6145,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6145-590341.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6146,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6146-935006.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6147,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6147-495038.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6148,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6148-830131.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6149,"Theme: travel classification regression-suite multi-hop en-us; 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: 6149-618154.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6150,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6150-920316.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6151,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6151-543802.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6152,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6152-623569.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6153,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6153-776011.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6154,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6154-878314.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6155,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6155-724718.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6156,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6156-715070.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6157,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6157-813876.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6158,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 6158-664296.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6159,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6159-231921.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6160,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6160-338679.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6161,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6161-843359.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6162,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6162-866712.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6163,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6163-503783.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6164,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6164-358340.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6165,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 6165-258839.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6166,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6166-903274.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6167,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6167-426542.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6168,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 6168-490233.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6169,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6169-166894.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6170,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6170-724115.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6171,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6171-378028.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6172,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6172-870245.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6173,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 6173-138774.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6174,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6174-835522.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6175,"Theme: travel classification regression-suite multi-hop en-us; 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: 6175-189395.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6176,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6176-817287.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6177,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6177-717836.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6178,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6178-992229.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6179,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6179-920521.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6180,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6180-610827.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6181,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6181-634461.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6182,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6182-478690.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6183,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6183-836101.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6184,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6184-736728.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6185,"Theme: travel classification regression-suite multi-hop en-us; 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: 6185-763545.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6186,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6186-705586.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6187,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6187-485286.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6188,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 6188-749364.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6189,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6189-588149.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6190,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 6190-966609.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6191,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6191-869393.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6192,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6192-941861.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6193,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6193-306146.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6194,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6194-822983.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6195,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6195-196811.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6196,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6196-977620.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6197,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6197-856651.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6198,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6198-821705.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6199,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6199-782110.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6200,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6200-332033.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6201,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6201-914159.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6202,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6202-517639.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6203,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6203-449200.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6204,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6204-610457.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6205,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 6205-302019.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6206,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6206-787244.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6207,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6207-641095.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6208,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6208-116003.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6209,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6209-383570.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6210,"Theme: travel classification regression-suite multi-hop en-us; 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: 6210-548728.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6211,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 6211-138593.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6212,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6212-150705.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6213,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6213-671883.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6214,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6214-349341.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6215,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6215-911589.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6216,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6216-909325.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6217,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6217-844752.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6218,"Theme: travel classification regression-suite multi-hop en-us; 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: 6218-452057.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6219,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6219-477840.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6220,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6220-316670.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6221,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6221-519257.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6222,"Theme: travel classification regression-suite multi-hop en-us; 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: 6222-375360.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6223,"Theme: travel classification regression-suite multi-hop en-us; 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: 6223-119926.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6224,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6224-408889.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6225,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6225-572431.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6226,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6226-222990.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6227,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6227-219625.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6228,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6228-800717.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6229,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6229-821666.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6230,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6230-723124.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
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+6232,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6232-948203.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6233,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6233-264075.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
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+6239,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6239-936496.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6240,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6240-460126.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6241,"Theme: travel classification regression-suite multi-hop en-us; 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: 6241-367122.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6242,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6242-830897.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6243,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6243-546602.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6244,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6244-825971.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6245,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6245-237347.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6246,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6246-828109.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6247,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6247-296548.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6248,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6248-654782.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6249,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6249-716176.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6250,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6250-386977.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6251,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6251-178228.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6252,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6252-936656.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6253,"Theme: travel classification regression-suite multi-hop en-us; 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: 6253-429953.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6254,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 6254-737686.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6255,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6255-194998.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6256,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6256-615422.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6257,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6257-352420.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6258,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6258-368130.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6259,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6259-646947.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6260,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6260-807788.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6261,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 6261-586006.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6262,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6262-924668.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6263,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6263-576930.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6264,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6264-144294.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6265,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6265-567355.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6266,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6266-915342.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6267,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6267-167442.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6268,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6268-145013.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6269,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6269-477937.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6270,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6270-872965.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6271,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6271-893593.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6272,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6272-761782.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6273,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6273-476928.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6274,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6274-880522.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6275,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6275-514688.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6276,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 6276-998204.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6277,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6277-813930.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6278,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6278-305491.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6279,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6279-808563.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6280,"Theme: travel classification regression-suite multi-hop en-us; 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: 6280-649957.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6281,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6281-988586.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6282,"Theme: travel classification regression-suite multi-hop en-us; 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: 6282-704032.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6283,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6283-512911.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6284,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 6284-197437.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6285,"Theme: travel classification regression-suite multi-hop en-us; 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: 6285-664114.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6286,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6286-958204.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6287,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6287-302326.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6288,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 6288-247041.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6289,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6289-906564.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6290,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6290-406395.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6291,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6291-315616.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6292,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6292-648148.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6293,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6293-265337.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6294,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6294-824011.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6295,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6295-779413.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6296,"Theme: travel classification regression-suite multi-hop en-us; 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: 6296-119914.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6297,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6297-494411.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6298,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6298-977866.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6299,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6299-443087.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6300,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6300-158156.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6301,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 6301-154699.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6302,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6302-876674.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6303,"Theme: travel classification regression-suite multi-hop en-us; 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: 6303-953306.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6304,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6304-571356.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6305,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6305-397491.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6306,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6306-528691.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6307,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6307-338705.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6308,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6308-186448.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6309,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6309-857466.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6310,"Theme: travel classification regression-suite multi-hop en-us; 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: 6310-921117.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6311,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6311-100059.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6312,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6312-920659.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6313,"Theme: travel classification regression-suite multi-hop en-us; 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: 6313-457173.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6314,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6314-510507.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6315,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 6315-126046.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6316,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6316-779929.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6317,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6317-272845.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6318,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6318-582991.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6319,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6319-595513.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6320,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6320-676343.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6321,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6321-804999.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6322,"Theme: travel classification regression-suite multi-hop en-us; 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: 6322-651261.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6323,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6323-852288.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6324,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6324-615860.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6325,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6325-336197.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6326,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6326-661372.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6327,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6327-970791.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6328,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6328-284922.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6329,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6329-480915.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6330,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6330-409418.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6331,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6331-469023.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6332,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6332-678481.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6333,"Theme: travel classification regression-suite multi-hop en-us; 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: 6333-736488.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6334,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6334-131962.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6335,"Theme: travel classification regression-suite multi-hop en-us; 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: 6335-266412.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6336,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6336-847593.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6337,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6337-264518.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6338,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6338-832575.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6339,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6339-621809.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6340,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6340-920513.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6341,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6341-492993.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6342,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6342-638659.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6343,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6343-140163.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6344,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6344-144935.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6345,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 6345-152246.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6346,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6346-348206.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6347,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6347-222146.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6348,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6348-115551.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6349,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 6349-590436.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6350,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6350-552645.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6351,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6351-480544.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6352,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6352-816266.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6353,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6353-383791.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6354,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6354-172976.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6355,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6355-822682.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6356,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6356-933009.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6357,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6357-967513.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6358,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6358-757516.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6359,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6359-673454.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
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+6361,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6361-693800.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6362,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6362-219309.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6363,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6363-432710.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
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+6365,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6365-753001.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6366,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6366-544272.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6367,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6367-679786.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6368,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6368-490073.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6369,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6369-353438.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6370,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6370-124935.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6371,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6371-417074.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6372,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 6372-669182.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6373,"Theme: travel classification regression-suite multi-hop en-us; 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: 6373-171221.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6374,"Theme: travel classification regression-suite multi-hop en-us; 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: 6374-349771.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6375,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6375-618284.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6376,"Theme: travel classification regression-suite multi-hop en-us; 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: 6376-480104.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6377,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6377-686600.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6378,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6378-985859.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6379,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 6379-392344.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6380,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6380-599388.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6381,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6381-844076.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6382,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6382-500621.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6383,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6383-649686.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6384,"Theme: travel classification regression-suite multi-hop en-us; 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: 6384-262185.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6385,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 6385-708437.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6386,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 6386-888561.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6387,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6387-238421.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6388,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6388-304086.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6389,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6389-231118.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6390,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6390-790492.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6391,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6391-814574.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6392,"Theme: travel classification regression-suite multi-hop en-us; 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: 6392-830287.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6393,"Theme: travel classification regression-suite multi-hop en-us; 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: 6393-638719.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6394,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6394-394737.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6395,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 6395-540779.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6396,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6396-910837.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6397,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6397-500787.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6398,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6398-310105.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6399,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6399-281357.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6400,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6400-240467.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6401,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6401-559629.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6402,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6402-197611.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6403,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6403-404563.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6404,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6404-722507.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6405,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6405-895774.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6406,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6406-123083.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6407,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 6407-672188.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6408,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6408-382181.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6409,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6409-592558.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6410,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6410-573329.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6411,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6411-338463.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6412,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6412-479347.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6413,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6413-611054.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6414,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6414-967911.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6415,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6415-377390.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6416,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6416-422338.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6417,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6417-387287.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6418,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6418-766002.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6419,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6419-891507.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6420,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6420-967922.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6421,"Theme: travel classification regression-suite multi-hop en-us; 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: 6421-938878.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6422,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 6422-739860.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6423,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6423-776201.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6424,"Theme: travel classification regression-suite multi-hop en-us; 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: 6424-497622.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6425,"Theme: travel classification regression-suite multi-hop en-us; 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: 6425-695759.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6426,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6426-794523.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6427,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6427-190647.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6428,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6428-632480.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6429,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6429-309786.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6430,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6430-466527.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6431,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6431-767626.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6432,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6432-453543.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6433,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6433-315984.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6434,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6434-966428.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6435,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6435-368983.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6436,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6436-665815.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6437,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6437-258745.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6438,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6438-563875.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6439,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6439-558720.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6440,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6440-965333.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6441,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6441-991683.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6442,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6442-542937.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6443,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6443-598874.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6444,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6444-304694.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6445,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6445-553921.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6446,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6446-701782.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6447,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6447-686293.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6448,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6448-453889.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6449,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6449-912779.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6450,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 6450-626652.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6451,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6451-822524.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6452,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6452-906662.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6453,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6453-867734.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6454,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6454-511299.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6455,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6455-377912.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6456,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6456-753892.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6457,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6457-809625.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6458,"Theme: travel classification regression-suite multi-hop en-us; 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: 6458-976518.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6459,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6459-762659.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6460,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6460-783158.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6461,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 6461-782132.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6462,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6462-169691.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6463,"Theme: travel classification regression-suite multi-hop en-us; 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: 6463-133888.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6464,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6464-412890.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6465,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6465-713461.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6466,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6466-748953.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6467,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6467-405408.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6468,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6468-257482.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6469,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6469-483308.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6470,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6470-129112.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6471,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6471-277695.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6472,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6472-568175.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6473,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6473-528255.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6474,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6474-871977.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6475,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6475-379543.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6476,"Theme: travel classification regression-suite multi-hop en-us; 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: 6476-472247.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6477,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6477-699807.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6478,"Theme: travel classification regression-suite multi-hop en-us; 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: 6478-772653.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6479,"Theme: travel classification regression-suite multi-hop en-us; 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: 6479-705791.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6480,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6480-372358.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6481,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6481-717983.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6482,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6482-873481.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6483,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6483-281316.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6484,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6484-665198.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6485,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6485-841874.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6486,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6486-867957.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6487,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6487-957379.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6488,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6488-387661.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6489,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6489-348248.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6490,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6490-189370.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6491,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6491-453505.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6492,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6492-115258.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6493,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6493-621292.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6494,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6494-496771.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6495,"Theme: travel classification regression-suite multi-hop en-us; 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: 6495-117055.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6496,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6496-282693.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6497,"Theme: travel classification regression-suite multi-hop en-us; 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: 6497-900738.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6498,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 6498-164391.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6499,"Theme: travel classification regression-suite multi-hop en-us; 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: 6499-654896.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6500,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6500-935309.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6501,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6501-345239.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6502,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6502-322834.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6503,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6503-263701.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6504,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6504-828325.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6505,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6505-852438.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6506,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6506-891707.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6507,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6507-721053.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6508,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6508-253250.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6509,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6509-268932.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6510,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6510-333526.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6511,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6511-348430.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6512,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6512-423378.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6513,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6513-883343.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6514,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6514-410118.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6515,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6515-287924.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6516,"Theme: travel classification regression-suite multi-hop en-us; 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: 6516-209588.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6517,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6517-219977.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6518,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6518-189385.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6519,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6519-306289.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6520,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6520-521050.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6521,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 6521-916701.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6522,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6522-420660.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6523,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6523-431757.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6524,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6524-851626.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6525,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 6525-819651.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6526,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6526-989585.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6527,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6527-634487.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6528,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6528-313403.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6529,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 6529-721999.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6530,"Theme: travel classification regression-suite multi-hop en-us; 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: 6530-125934.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6531,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6531-273389.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6532,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6532-477103.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6533,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6533-185516.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6534,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 6534-736072.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6535,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6535-997128.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6536,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6536-273614.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6537,"Theme: travel classification regression-suite multi-hop en-us; 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: 6537-529720.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6538,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6538-732371.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6539,"Theme: travel classification regression-suite multi-hop en-us; 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: 6539-611152.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6540,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6540-501387.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6541,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6541-863383.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6542,"Theme: travel classification regression-suite multi-hop en-us; 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: 6542-961546.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6543,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6543-430107.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6544,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6544-781652.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6545,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6545-770244.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6546,"Theme: travel classification regression-suite multi-hop en-us; 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: 6546-632193.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6547,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6547-387544.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6548,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6548-880491.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6549,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6549-570684.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6550,"Theme: travel classification regression-suite multi-hop en-us; 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: 6550-151328.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6551,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6551-889981.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6552,"Theme: travel classification regression-suite multi-hop en-us; 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: 6552-176822.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6553,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6553-771483.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6554,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 6554-770812.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6555,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6555-238649.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6556,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6556-883319.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6557,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6557-523086.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6558,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6558-651740.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6559,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6559-165499.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6560,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6560-267482.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6561,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6561-896216.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6562,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6562-532239.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6563,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 6563-505807.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6564,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6564-349893.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6565,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6565-252475.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6566,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6566-814270.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6567,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6567-764358.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6568,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6568-826114.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6569,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6569-531021.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6570,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 6570-658714.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6571,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6571-262235.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6572,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6572-320929.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6573,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6573-738821.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6574,"Theme: travel classification regression-suite multi-hop en-us; 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: 6574-596523.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6575,"Theme: travel classification regression-suite multi-hop en-us; 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: 6575-130813.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6576,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 6576-414938.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6577,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6577-101433.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6578,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6578-385189.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6579,"Theme: travel classification regression-suite multi-hop en-us; 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: 6579-111732.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6580,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 6580-348032.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6581,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6581-851726.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6582,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6582-879860.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6583,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6583-395331.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6584,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6584-481179.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6585,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6585-241981.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6586,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6586-378507.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6587,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6587-985792.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6588,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6588-818202.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6589,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6589-194110.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6590,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6590-685915.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6591,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6591-677174.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6592,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 6592-713099.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6593,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6593-314878.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6594,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6594-242336.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6595,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6595-591856.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6596,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6596-125004.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6597,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6597-906207.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6598,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6598-456488.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6599,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6599-110076.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6600,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6600-648229.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6601,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6601-356243.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6602,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 6602-261548.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6603,"Theme: travel classification regression-suite multi-hop en-us; 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: 6603-739083.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6604,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6604-401400.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6605,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6605-236990.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6606,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6606-282363.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6607,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 6607-390859.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6608,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6608-777832.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6609,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 6609-948178.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6610,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6610-938198.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6611,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6611-130467.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6612,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6612-321356.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6613,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6613-642538.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6614,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6614-157396.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6615,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6615-469843.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6616,"Theme: travel classification regression-suite multi-hop en-us; 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: 6616-273528.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6617,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6617-760254.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6618,"Theme: travel classification regression-suite multi-hop en-us; 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: 6618-917392.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6619,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6619-187615.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6620,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6620-566279.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6621,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6621-913973.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6622,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6622-814416.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6623,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6623-188892.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6624,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6624-619087.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6625,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6625-808826.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6626,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6626-665745.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6627,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6627-245512.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6628,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6628-185856.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6629,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6629-515599.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6630,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6630-591060.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6631,"Theme: travel classification regression-suite multi-hop en-us; 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: 6631-480794.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6632,"Theme: travel classification regression-suite multi-hop en-us; 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: 6632-325108.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6633,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6633-263136.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6634,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6634-928619.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6635,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6635-960464.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6636,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6636-837804.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6637,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6637-998915.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6638,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6638-363709.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6639,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6639-376632.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6640,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6640-749159.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6641,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6641-448289.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6642,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6642-511957.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6643,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6643-660776.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6644,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6644-722607.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6645,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6645-203738.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6646,"Theme: travel classification regression-suite multi-hop en-us; 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: 6646-203577.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6647,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6647-992361.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6648,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6648-537236.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6649,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6649-371649.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6650,"Theme: travel classification regression-suite multi-hop en-us; 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: 6650-143620.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6651,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6651-740061.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6652,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6652-592568.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6653,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6653-471896.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6654,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6654-989817.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6655,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6655-789337.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6656,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6656-839427.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6657,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6657-894163.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6658,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6658-782536.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6659,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6659-358283.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6660,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6660-419032.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6661,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6661-469542.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6662,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6662-925594.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6663,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6663-737324.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6664,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6664-715957.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6665,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6665-837721.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6666,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6666-590286.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6667,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6667-212320.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6668,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6668-117413.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6669,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6669-693478.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6670,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6670-237642.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6671,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6671-580064.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6672,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6672-123980.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6673,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6673-150384.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6674,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6674-384042.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6675,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6675-582560.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6676,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6676-817986.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6677,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 6677-210586.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6678,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6678-212378.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6679,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6679-473893.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6680,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6680-102896.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6681,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6681-799002.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6682,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6682-117919.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6683,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6683-416662.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6684,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6684-610348.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6685,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6685-467059.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6686,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6686-152607.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6687,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6687-522274.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6688,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6688-950688.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6689,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6689-694940.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6690,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6690-268963.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6691,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6691-363242.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6692,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6692-396483.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6693,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6693-525360.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6694,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6694-602895.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6695,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6695-444315.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6696,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6696-199171.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6697,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6697-793641.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6698,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6698-650154.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6699,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6699-610744.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6700,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6700-524299.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6701,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 6701-803765.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6702,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6702-731308.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6703,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6703-525466.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6704,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6704-337093.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6705,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6705-209783.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6706,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6706-235881.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6707,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6707-978684.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6708,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6708-990047.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6709,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6709-960488.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6710,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6710-846734.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6711,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6711-381826.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6712,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6712-336996.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6713,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6713-569645.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6714,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6714-106108.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6715,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6715-420134.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6716,"Theme: travel classification regression-suite multi-hop en-us; 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: 6716-155038.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6717,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6717-391165.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6718,"Theme: travel classification regression-suite multi-hop en-us; 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: 6718-112674.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6719,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6719-360540.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6720,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6720-527422.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6721,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6721-677850.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6722,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6722-164595.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6723,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6723-937272.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6724,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6724-987759.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6725,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6725-673092.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6726,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6726-165394.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6727,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6727-484844.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6728,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6728-475371.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6729,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6729-657814.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6730,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6730-899277.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6731,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6731-388948.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6732,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 6732-780365.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6733,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6733-335804.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6734,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6734-859511.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6735,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6735-414611.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6736,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6736-351176.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6737,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6737-641091.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6738,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6738-698162.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6739,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6739-674498.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6740,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6740-787747.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6741,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6741-897365.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6742,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6742-416451.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6743,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 6743-391121.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6744,"Theme: travel classification regression-suite multi-hop en-us; 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: 6744-688087.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6745,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6745-448660.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6746,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6746-159862.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6747,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 6747-993608.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6748,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6748-403683.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6749,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6749-510735.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6750,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6750-339261.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6751,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6751-135618.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6752,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6752-932119.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6753,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6753-561064.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6754,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6754-625813.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6755,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6755-220277.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6756,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6756-852928.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6757,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6757-884425.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6758,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6758-940070.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6759,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6759-937127.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6760,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6760-665585.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6761,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6761-555452.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6762,"Theme: travel classification regression-suite multi-hop en-us; 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: 6762-441202.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6763,"Theme: travel classification regression-suite multi-hop en-us; 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: 6763-920760.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6764,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6764-134780.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6765,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6765-184754.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6766,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6766-297574.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6767,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6767-974098.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6768,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6768-711362.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6769,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6769-806616.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6770,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6770-579300.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6771,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6771-179000.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6772,"Theme: travel classification regression-suite multi-hop en-us; 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: 6772-114007.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6773,"Theme: travel classification regression-suite multi-hop en-us; 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: 6773-262678.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6774,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6774-587143.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6775,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6775-700938.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6776,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 6776-143260.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6777,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6777-809176.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6778,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6778-886147.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6779,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6779-339824.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6780,"Theme: travel classification regression-suite multi-hop en-us; 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: 6780-103355.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6781,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6781-378649.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6782,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6782-780002.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6783,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6783-663907.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6784,"Theme: travel classification regression-suite multi-hop en-us; 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: 6784-653468.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6785,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6785-538165.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6786,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6786-866047.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6787,"Theme: travel classification regression-suite multi-hop en-us; 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: 6787-295734.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6788,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6788-888095.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6789,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6789-538772.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6790,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6790-974342.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6791,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6791-715823.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6792,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6792-220929.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6793,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6793-861746.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6794,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6794-399302.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6795,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6795-489893.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6796,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6796-988019.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6797,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6797-618189.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6798,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6798-749236.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6799,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6799-932602.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6800,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6800-138269.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6801,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6801-265313.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6802,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6802-185172.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6803,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6803-536406.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6804,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 6804-740386.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6805,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6805-476386.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6806,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6806-748686.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6807,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6807-826006.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6808,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6808-786639.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6809,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6809-613609.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6810,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6810-727830.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6811,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6811-210330.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6812,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6812-700782.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6813,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6813-528373.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6814,"Theme: travel classification regression-suite multi-hop en-us; 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: 6814-435810.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6815,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 6815-651394.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6816,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6816-673769.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6817,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6817-496575.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6818,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6818-813986.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6819,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6819-994448.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6820,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 6820-878553.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6821,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 6821-852194.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6822,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6822-611015.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6823,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6823-366558.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6824,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6824-582291.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6825,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6825-911436.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6826,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6826-202644.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6827,"Theme: travel classification regression-suite multi-hop en-us; 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: 6827-896025.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6828,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6828-982954.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6829,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6829-553094.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6830,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6830-986600.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6831,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6831-396978.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6832,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6832-705423.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6833,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6833-171999.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6834,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6834-722165.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6835,"Theme: travel classification regression-suite multi-hop en-us; 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: 6835-525804.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6836,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6836-503209.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6837,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6837-365176.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6838,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6838-758909.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6839,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6839-997394.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6840,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6840-255614.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6841,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6841-443757.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6842,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 6842-910689.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6843,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6843-756439.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6844,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6844-479497.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6845,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6845-140392.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6846,"Theme: travel classification regression-suite multi-hop en-us; 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: 6846-466228.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6847,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 6847-308678.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6848,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 6848-892014.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6849,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6849-984890.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6850,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6850-945131.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6851,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6851-224749.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6852,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6852-823775.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6853,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6853-472455.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6854,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6854-449132.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6855,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6855-244281.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6856,"Theme: travel classification regression-suite multi-hop en-us; 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: 6856-429492.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6857,"Theme: travel classification regression-suite multi-hop en-us; 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: 6857-244827.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6858,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6858-634795.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6859,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6859-744224.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6860,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6860-341969.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6861,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6861-820589.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6862,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6862-732176.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6863,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6863-152716.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6864,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6864-608686.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6865,"Theme: travel classification regression-suite multi-hop en-us; 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: 6865-267416.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6866,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6866-350449.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6867,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6867-452369.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6868,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6868-609254.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6869,"Theme: travel classification regression-suite multi-hop en-us; 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: 6869-635046.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6870,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6870-577989.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6871,"Theme: travel classification regression-suite multi-hop en-us; 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: 6871-827765.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6872,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6872-652717.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6873,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6873-340611.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6874,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6874-817683.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6875,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 6875-735726.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6876,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6876-262691.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6877,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6877-336513.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6878,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6878-169917.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6879,"Theme: travel classification regression-suite multi-hop en-us; 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: 6879-339643.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6880,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6880-389081.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6881,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6881-614666.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6882,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6882-899376.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6883,"Theme: travel classification regression-suite multi-hop en-us; 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: 6883-498569.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6884,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6884-133720.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6885,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 6885-768729.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6886,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6886-850310.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6887,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6887-548537.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6888,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6888-252572.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6889,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6889-782093.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6890,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6890-280279.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6891,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6891-276757.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6892,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6892-836202.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6893,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6893-378841.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6894,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6894-778288.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6895,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6895-849757.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6896,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6896-352315.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6897,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6897-900666.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6898,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6898-980891.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6899,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6899-365784.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6900,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6900-460740.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6901,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6901-484354.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6902,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6902-600733.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6903,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6903-803976.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6904,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6904-640718.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6905,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6905-526010.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6906,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6906-740933.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6907,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6907-335716.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6908,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6908-140258.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6909,"Theme: travel classification regression-suite multi-hop en-us; 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: 6909-714935.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6910,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6910-459593.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6911,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6911-764285.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6912,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6912-441390.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6913,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6913-816306.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6914,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6914-597244.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6915,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6915-285393.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6916,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 6916-439050.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6917,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6917-581314.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6918,"Theme: travel classification regression-suite multi-hop en-us; 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: 6918-366242.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6919,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6919-273287.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6920,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6920-430588.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6921,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6921-863075.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6922,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6922-213089.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6923,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6923-766439.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6924,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6924-723572.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6925,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6925-284846.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6926,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6926-463674.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6927,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6927-270955.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6928,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6928-922628.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6929,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6929-254954.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6930,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6930-340529.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6931,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6931-612504.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6932,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6932-713650.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6933,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6933-679628.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6934,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6934-729264.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6935,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6935-838953.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6936,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6936-293665.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6937,"Theme: travel classification regression-suite multi-hop en-us; 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: 6937-391509.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6938,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6938-997529.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6939,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6939-179478.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6940,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 6940-271406.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6941,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 6941-353852.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6942,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6942-282470.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6943,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6943-718495.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6944,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6944-123283.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6945,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6945-260890.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6946,"Theme: travel classification regression-suite multi-hop en-us; 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: 6946-765451.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6947,"Theme: travel classification regression-suite multi-hop en-us; 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: 6947-941722.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6948,"Theme: travel classification regression-suite multi-hop en-us; 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: 6948-753493.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6949,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6949-191735.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6950,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6950-368086.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6951,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6951-108450.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6952,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6952-513359.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6953,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6953-509407.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6954,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6954-953575.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6955,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6955-914067.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6956,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6956-110053.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6957,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 6957-139354.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6958,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6958-348949.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6959,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6959-123945.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6960,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6960-260796.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6961,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6961-369666.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6962,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6962-653667.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6963,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6963-883408.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6964,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6964-146827.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6965,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6965-182539.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6966,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6966-494327.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6967,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6967-120222.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6968,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6968-866526.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6969,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6969-207363.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6970,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6970-245634.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6971,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6971-422005.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6972,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6972-340444.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6973,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6973-129509.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6974,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6974-132452.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6975,"Theme: travel classification regression-suite multi-hop en-us; 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: 6975-564647.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6976,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6976-105139.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6977,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6977-831206.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6978,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6978-923792.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6979,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6979-423953.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6980,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6980-294637.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6981,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6981-912522.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6982,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6982-312950.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6983,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6983-116476.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6984,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6984-308100.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6985,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6985-299950.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6986,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 6986-842698.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6987,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6987-764047.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6988,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 6988-858944.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6989,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6989-528280.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6990,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6990-140291.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6991,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6991-812001.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6992,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6992-232513.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6993,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6993-115065.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+6994,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6994-922057.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6995,"Theme: travel classification regression-suite multi-hop en-us; 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: 6995-118048.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+6996,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6996-957487.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+6997,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6997-956993.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+6998,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6998-578648.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+6999,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6999-756906.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7000,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7000-312663.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7001,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7001-320150.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7002,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7002-499152.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7003,"Theme: travel classification regression-suite multi-hop en-us; 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: 7003-925349.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7004,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 7004-299024.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7005,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7005-216838.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7006,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7006-279059.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7007,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7007-341524.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7008,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7008-870814.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7009,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7009-466854.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7010,"Theme: travel classification regression-suite multi-hop en-us; 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: 7010-338236.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7011,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7011-379567.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7012,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7012-198461.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7013,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7013-836505.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7014,"Theme: travel classification regression-suite multi-hop en-us; 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: 7014-777181.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7015,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7015-626809.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7016,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7016-803145.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7017,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7017-398015.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7018,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7018-799971.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7019,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7019-425945.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7020,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7020-268073.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7021,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7021-958471.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7022,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7022-408601.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7023,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7023-506000.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7024,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7024-374005.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7025,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7025-338867.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7026,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7026-102547.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7027,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7027-547129.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7028,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 7028-803653.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7029,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7029-595997.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7030,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7030-877632.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7031,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7031-450655.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7032,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7032-274555.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7033,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7033-605919.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7034,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7034-603350.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7035,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7035-163729.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7036,"Theme: travel classification regression-suite multi-hop en-us; 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: 7036-125325.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7037,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7037-323377.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7038,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7038-494889.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7039,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7039-827683.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7040,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 7040-994646.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7041,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7041-426885.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7042,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7042-488173.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7043,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7043-683445.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7044,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7044-475169.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7045,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7045-589613.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7046,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7046-396913.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7047,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7047-615270.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7048,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7048-117066.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7049,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 7049-572326.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7050,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 7050-381007.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7051,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7051-973835.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7052,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7052-578598.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7053,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 7053-700317.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7054,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7054-278583.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7055,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7055-478867.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7056,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7056-933588.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7057,"Theme: travel classification regression-suite multi-hop en-us; 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: 7057-639699.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7058,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7058-575916.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7059,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7059-734912.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7060,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7060-819527.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7061,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7061-881496.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7062,"Theme: travel classification regression-suite multi-hop en-us; 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: 7062-768472.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7063,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7063-883561.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7064,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7064-887840.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7065,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7065-816959.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7066,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7066-167886.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7067,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7067-793156.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7068,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7068-551752.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7069,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 7069-484205.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7070,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7070-447139.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7071,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7071-713959.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7072,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7072-257751.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7073,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7073-782057.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7074,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7074-852434.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7075,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7075-333869.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7076,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7076-898845.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7077,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7077-329146.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7078,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 7078-608404.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7079,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7079-290037.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7080,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7080-285777.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7081,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7081-876541.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7082,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7082-130634.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7083,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7083-347586.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7084,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7084-741597.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7085,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7085-472636.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7086,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7086-476425.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7087,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7087-265807.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7088,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7088-294631.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7089,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7089-331721.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7090,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7090-906746.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7091,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7091-676767.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7092,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7092-303292.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7093,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7093-527457.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7094,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 7094-644269.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7095,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7095-255402.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7096,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7096-565903.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7097,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7097-161109.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7098,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7098-723277.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7099,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7099-945082.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7100,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7100-428451.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7101,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7101-868480.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7102,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7102-729457.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7103,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7103-537094.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7104,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7104-330002.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7105,"Theme: travel classification regression-suite multi-hop en-us; 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: 7105-613634.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7106,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7106-978274.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7107,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7107-272315.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7108,"Theme: travel classification regression-suite multi-hop en-us; 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: 7108-322672.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7109,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7109-466942.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7110,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7110-228304.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7111,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7111-468391.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7112,"Theme: travel classification regression-suite multi-hop en-us; 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: 7112-415307.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7113,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7113-449546.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7114,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 7114-125988.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7115,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7115-521936.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7116,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7116-174053.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7117,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7117-736384.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7118,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7118-136903.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7119,"Theme: travel classification regression-suite multi-hop en-us; 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: 7119-717347.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7120,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7120-410698.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7121,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7121-568819.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7122,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7122-304150.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7123,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7123-213284.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7124,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 7124-299536.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7125,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 7125-252466.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7126,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7126-133698.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7127,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7127-169955.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7128,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7128-783291.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7129,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7129-841298.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7130,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7130-567027.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7131,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7131-471799.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7132,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7132-841083.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7133,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7133-153944.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7134,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7134-643981.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7135,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7135-395174.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7136,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7136-703709.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7137,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7137-704470.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7138,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7138-684671.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7139,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7139-596844.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7140,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7140-599913.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7141,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 7141-606930.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7142,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 7142-457943.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7143,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7143-240221.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7144,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7144-697412.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7145,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7145-212670.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7146,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7146-142249.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7147,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7147-285626.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7148,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7148-928701.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7149,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7149-667214.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7150,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7150-836946.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7151,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7151-241045.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7152,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7152-525457.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7153,"Theme: travel classification regression-suite multi-hop en-us; 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: 7153-943269.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7154,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7154-725871.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7155,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7155-587647.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7156,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7156-986056.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7157,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 7157-170942.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7158,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7158-954970.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7159,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 7159-548757.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7160,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7160-567827.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7161,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7161-229073.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7162,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7162-531325.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7163,"Theme: travel classification regression-suite multi-hop en-us; 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: 7163-163926.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7164,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7164-833411.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7165,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7165-662801.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7166,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7166-732275.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7167,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7167-168608.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7168,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7168-694162.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7169,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7169-506428.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7170,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7170-317917.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7171,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7171-783418.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7172,"Theme: travel classification regression-suite multi-hop en-us; 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: 7172-678058.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7173,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7173-716591.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7174,"Theme: travel classification regression-suite multi-hop en-us; 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: 7174-478412.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7175,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7175-800014.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7176,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7176-532049.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7177,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7177-814389.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7178,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7178-537854.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7179,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7179-857701.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7180,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7180-471581.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7181,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7181-165375.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7182,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7182-174372.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7183,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7183-446623.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7184,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7184-224857.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7185,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7185-244104.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7186,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7186-198750.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7187,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7187-959996.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7188,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7188-725181.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7189,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7189-615609.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7190,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7190-101425.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7191,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7191-648675.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7192,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7192-656936.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7193,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7193-658939.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7194,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7194-426854.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7195,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7195-568500.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7196,"Theme: travel classification regression-suite multi-hop en-us; 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: 7196-179408.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7197,"Theme: travel classification regression-suite multi-hop en-us; 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: 7197-692907.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7198,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7198-725904.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7199,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7199-701539.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7200,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7200-921841.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7201,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7201-558907.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7202,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7202-348978.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7203,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7203-568409.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7204,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7204-768718.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7205,"Theme: travel classification regression-suite multi-hop en-us; 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: 7205-918561.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7206,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7206-139394.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7207,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7207-827387.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7208,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7208-908026.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7209,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7209-578315.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7210,"Theme: travel classification regression-suite multi-hop en-us; 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: 7210-507061.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7211,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7211-477198.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7212,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7212-769751.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7213,"Theme: travel classification regression-suite multi-hop en-us; 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: 7213-711399.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7214,"Theme: travel classification regression-suite multi-hop en-us; 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: 7214-548819.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7215,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7215-853134.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7216,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7216-560593.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7217,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7217-341733.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7218,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7218-155179.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7219,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7219-234801.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7220,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7220-548362.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7221,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7221-428177.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7222,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 7222-977581.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7223,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7223-361675.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7224,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7224-423085.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7225,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7225-180121.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7226,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7226-566489.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7227,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7227-202693.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7228,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7228-420914.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7229,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7229-933114.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7230,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7230-764384.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7231,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7231-734993.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7232,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7232-886261.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7233,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7233-433206.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7234,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7234-491911.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7235,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 7235-249417.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7236,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7236-848102.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7237,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7237-319131.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7238,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7238-483312.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7239,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7239-164749.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7240,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 7240-942585.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7241,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7241-560476.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7242,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7242-855295.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7243,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7243-693366.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7244,"Theme: travel classification regression-suite multi-hop en-us; 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: 7244-522539.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7245,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7245-119723.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7246,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7246-482363.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7247,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 7247-789380.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7248,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 7248-473000.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7249,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 7249-217064.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7250,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7250-850996.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7251,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7251-316594.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7252,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7252-280138.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7253,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7253-231868.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7254,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7254-986557.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7255,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7255-834215.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7256,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7256-505963.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7257,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7257-756629.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7258,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7258-521574.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7259,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7259-200919.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7260,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7260-350675.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7261,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7261-507142.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7262,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7262-156847.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7263,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7263-945528.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7264,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7264-433014.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7265,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7265-902268.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7266,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7266-557946.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7267,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7267-827696.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7268,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7268-323662.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7269,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 7269-512626.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7270,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7270-226570.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7271,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7271-825385.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7272,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7272-216978.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7273,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7273-177690.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7274,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7274-448485.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7275,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7275-921317.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7276,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 7276-242848.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7277,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7277-796253.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7278,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7278-535020.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7279,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7279-360524.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7280,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7280-337209.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7281,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7281-915996.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7282,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7282-317274.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7283,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7283-153947.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7284,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7284-233259.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7285,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7285-451291.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7286,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7286-663860.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7287,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 7287-824816.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7288,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7288-748478.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7289,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7289-478067.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7290,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 7290-987685.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7291,"Theme: travel classification regression-suite multi-hop en-us; 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: 7291-740086.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7292,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7292-408698.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7293,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7293-721572.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7294,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7294-190089.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7295,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 7295-515389.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7296,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7296-832806.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7297,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7297-635936.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7298,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 7298-513693.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7299,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7299-622714.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7300,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7300-893421.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7301,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7301-907539.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7302,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7302-522112.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7303,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7303-126743.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7304,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7304-521334.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7305,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7305-905123.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7306,"Theme: travel classification regression-suite multi-hop en-us; 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: 7306-597346.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7307,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7307-618773.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7308,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7308-470154.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7309,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7309-628073.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7310,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7310-798702.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7311,"Theme: travel classification regression-suite multi-hop en-us; 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: 7311-260040.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7312,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7312-689541.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7313,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7313-705251.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7314,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7314-855663.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7315,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7315-312306.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7316,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7316-740640.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7317,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7317-167485.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7318,"Theme: travel classification regression-suite multi-hop en-us; 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: 7318-199076.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7319,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7319-538676.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7320,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7320-728665.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7321,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7321-871882.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7322,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7322-473550.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7323,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7323-481474.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7324,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7324-778651.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7325,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7325-612495.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7326,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7326-247690.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7327,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 7327-918750.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7328,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7328-660875.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7329,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7329-614316.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7330,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7330-416864.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7331,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 7331-838186.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7332,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 7332-469459.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7333,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7333-121357.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7334,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7334-255310.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7335,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7335-474939.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7336,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7336-803387.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7337,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7337-781805.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7338,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 7338-207117.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7339,"Theme: travel classification regression-suite multi-hop en-us; 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: 7339-162841.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7340,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 7340-935047.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7341,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7341-633829.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7342,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7342-251973.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7343,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7343-878434.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7344,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7344-288681.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7345,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7345-699182.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7346,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7346-934538.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7347,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7347-511256.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7348,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7348-363770.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7349,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7349-928379.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7350,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7350-641113.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7351,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7351-541231.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7352,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7352-959361.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7353,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7353-445876.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7354,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7354-829091.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7355,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7355-809859.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7356,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7356-631076.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7357,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7357-231521.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7358,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7358-381918.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7359,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 7359-574413.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7360,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7360-546628.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7361,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7361-336537.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7362,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7362-482247.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7363,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7363-910704.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7364,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7364-407502.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7365,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7365-725364.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7366,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7366-902613.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7367,"Theme: travel classification regression-suite multi-hop en-us; 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: 7367-941068.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7368,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7368-126688.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7369,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 7369-408893.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7370,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 7370-307201.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7371,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7371-823216.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7372,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7372-314313.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7373,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7373-629691.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7374,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7374-824524.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7375,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7375-893533.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7376,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 7376-376147.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7377,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7377-920159.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7378,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7378-376876.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7379,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7379-897926.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7380,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7380-184217.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7381,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7381-190412.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7382,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7382-642038.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7383,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7383-730681.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7384,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7384-305555.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7385,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7385-727120.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7386,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 7386-653333.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7387,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7387-433556.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7388,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7388-155162.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7389,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7389-661390.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7390,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 7390-526770.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7391,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 7391-950368.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7392,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7392-447449.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7393,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7393-229885.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7394,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7394-992620.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7395,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7395-417474.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7396,"Theme: travel classification regression-suite multi-hop en-us; 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: 7396-946507.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7397,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7397-553060.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7398,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7398-115980.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7399,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7399-325189.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7400,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7400-120094.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7401,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7401-836039.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7402,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7402-831209.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7403,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7403-646928.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7404,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7404-213734.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7405,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7405-183405.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7406,"Theme: travel classification regression-suite multi-hop en-us; 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: 7406-157223.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7407,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 7407-227608.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7408,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7408-839812.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7409,"Theme: travel classification regression-suite multi-hop en-us; 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: 7409-371078.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7410,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7410-121006.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7411,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7411-253188.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7412,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7412-479802.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7413,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7413-303453.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7414,"Theme: travel classification regression-suite multi-hop en-us; 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: 7414-648286.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7415,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7415-886989.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7416,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7416-752415.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7417,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7417-243256.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7418,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7418-579015.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7419,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7419-418242.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7420,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7420-896223.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7421,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7421-863089.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7422,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7422-800569.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7423,"Theme: travel classification regression-suite multi-hop en-us; 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: 7423-603524.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7424,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7424-981581.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7425,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7425-701221.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7426,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7426-605502.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7427,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7427-934463.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7428,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7428-343450.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7429,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7429-731628.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7430,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7430-883083.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7431,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7431-749335.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7432,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7432-343041.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7433,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7433-513166.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7434,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7434-352186.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7435,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7435-652030.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7436,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7436-138464.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7437,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7437-520301.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7438,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7438-624106.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7439,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 7439-230650.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7440,"Theme: travel classification regression-suite multi-hop en-us; 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: 7440-635679.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7441,"Theme: travel classification regression-suite multi-hop en-us; 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: 7441-838571.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7442,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7442-823813.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7443,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7443-784674.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7444,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7444-568412.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7445,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7445-419349.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7446,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7446-817603.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7447,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7447-605133.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7448,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7448-208569.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7449,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7449-160653.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7450,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7450-639870.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7451,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7451-779980.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7452,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7452-619446.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7453,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7453-625533.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7454,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7454-374415.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7455,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7455-570434.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7456,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7456-145977.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7457,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7457-743324.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7458,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7458-930634.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7459,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7459-794912.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7460,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7460-750617.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7461,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7461-826849.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7462,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7462-329264.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7463,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7463-452313.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7464,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7464-667801.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7465,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7465-538514.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7466,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 7466-913214.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7467,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7467-803132.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7468,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7468-325383.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7469,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 7469-924473.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7470,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7470-586570.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7471,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7471-259537.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7472,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7472-228337.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7473,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7473-886171.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7474,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7474-726840.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7475,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 7475-155116.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7476,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7476-493974.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7477,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7477-802928.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7478,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7478-843686.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7479,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7479-970932.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7480,"Theme: travel classification regression-suite multi-hop en-us; 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: 7480-846530.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7481,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7481-607857.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7482,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 7482-869492.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7483,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 7483-336481.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7484,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7484-921678.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7485,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7485-181888.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7486,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7486-669303.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7487,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7487-801318.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7488,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7488-896270.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7489,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7489-655491.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7490,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7490-132829.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7491,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7491-559536.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7492,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7492-389263.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7493,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7493-781177.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7494,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7494-329732.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7495,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7495-848069.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7496,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7496-951940.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7497,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7497-337425.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7498,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7498-170815.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7499,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7499-909205.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7500,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7500-983721.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7501,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7501-563495.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7502,"Theme: travel classification regression-suite multi-hop en-us; 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: 7502-199116.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7503,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7503-609937.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7504,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7504-891091.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7505,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7505-668803.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7506,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7506-573411.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7507,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7507-654345.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7508,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7508-296073.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7509,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7509-774121.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7510,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7510-731911.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7511,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7511-328716.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7512,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7512-439394.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7513,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7513-190523.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7514,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7514-668163.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7515,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7515-347116.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7516,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7516-827888.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7517,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7517-426117.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7518,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 7518-606586.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7519,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7519-512649.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7520,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7520-383121.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7521,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7521-598369.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7522,"Theme: travel classification regression-suite multi-hop en-us; 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: 7522-630443.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7523,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7523-500334.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7524,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7524-719911.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7525,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7525-614223.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7526,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 7526-428331.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7527,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 7527-444978.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7528,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7528-180375.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7529,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7529-277137.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7530,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7530-227242.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7531,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7531-552924.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7532,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7532-764974.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7533,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7533-492670.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7534,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7534-736542.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7535,"Theme: travel classification regression-suite multi-hop en-us; 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: 7535-306352.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7536,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7536-568781.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7537,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7537-899545.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7538,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7538-966278.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7539,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7539-243317.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7540,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 7540-601334.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7541,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7541-714619.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7542,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7542-808640.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7543,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7543-809739.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7544,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7544-574128.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7545,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 7545-756702.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7546,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7546-469732.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7547,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7547-628374.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7548,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 7548-344957.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7549,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7549-906141.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7550,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7550-999243.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7551,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 7551-944112.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7552,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7552-758938.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7553,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7553-555592.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7554,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 7554-131647.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7555,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7555-710331.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7556,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 7556-762748.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7557,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7557-393552.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7558,"Theme: travel classification regression-suite multi-hop en-us; 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: 7558-819588.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7559,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7559-263247.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7560,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7560-905276.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7561,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7561-656004.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7562,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7562-225399.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7563,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7563-557456.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7564,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7564-206352.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7565,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 7565-656344.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7566,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7566-154223.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7567,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7567-774673.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7568,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7568-484060.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7569,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7569-990593.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7570,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7570-962047.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7571,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7571-885611.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7572,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7572-950481.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7573,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7573-285978.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7574,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7574-951181.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7575,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7575-566300.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7576,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7576-656405.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7577,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7577-497640.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7578,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7578-296229.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7579,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7579-902528.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7580,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7580-141729.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7581,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7581-135529.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7582,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7582-179332.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7583,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7583-276503.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7584,"Theme: travel classification regression-suite multi-hop en-us; 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: 7584-255211.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7585,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7585-564291.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7586,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7586-653296.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7587,"Theme: travel classification regression-suite multi-hop en-us; 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: 7587-475151.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7588,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 7588-139288.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7589,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7589-917491.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7590,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7590-689885.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7591,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7591-965538.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7592,"Theme: travel classification regression-suite multi-hop en-us; 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: 7592-358930.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7593,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7593-787271.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7594,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7594-374297.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7595,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7595-810966.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7596,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7596-925678.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7597,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7597-147483.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7598,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7598-566902.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7599,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7599-795698.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7600,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7600-233503.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7601,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7601-156489.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7602,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7602-941302.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7603,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 7603-289303.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7604,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7604-781043.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7605,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7605-989908.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7606,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7606-476805.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7607,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 7607-302354.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7608,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7608-855272.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7609,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7609-461445.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7610,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7610-373412.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7611,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7611-697107.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7612,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7612-137665.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7613,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7613-354572.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7614,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7614-949515.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7615,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7615-607136.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7616,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7616-184369.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7617,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7617-529335.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7618,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7618-416021.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7619,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7619-206335.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7620,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7620-551450.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7621,"Theme: travel classification regression-suite multi-hop en-us; 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: 7621-319571.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7622,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7622-465370.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7623,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7623-848625.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7624,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7624-932802.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7625,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 7625-522935.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7626,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7626-591919.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7627,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7627-693198.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7628,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7628-550237.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7629,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7629-347181.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7630,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7630-978813.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7631,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7631-405644.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7632,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7632-596779.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7633,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7633-886028.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7634,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7634-683285.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7635,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7635-410887.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7636,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7636-267592.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7637,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7637-156215.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7638,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7638-759083.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7639,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7639-827103.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7640,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7640-112326.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7641,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7641-613270.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7642,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7642-914541.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7643,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7643-978802.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7644,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7644-114488.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7645,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7645-289570.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7646,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7646-404442.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7647,"Theme: travel classification regression-suite multi-hop en-us; 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: 7647-992764.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7648,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7648-541012.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7649,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7649-262827.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7650,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7650-428141.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7651,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7651-661180.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7652,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 7652-143048.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7653,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7653-802710.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7654,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7654-468289.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7655,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7655-492349.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7656,"Theme: travel classification regression-suite multi-hop en-us; 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: 7656-758606.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7657,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7657-848232.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7658,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7658-791491.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7659,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7659-827494.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7660,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 7660-359618.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7661,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 7661-379023.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7662,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7662-835358.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7663,"Theme: travel classification regression-suite multi-hop en-us; 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: 7663-703341.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7664,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7664-690094.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7665,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7665-365692.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7666,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7666-509293.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7667,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7667-544150.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7668,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7668-382706.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7669,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7669-468518.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7670,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 7670-305582.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7671,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7671-568571.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7672,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7672-581180.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7673,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7673-868282.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7674,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7674-773004.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7675,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7675-656982.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7676,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7676-304131.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7677,"Theme: travel classification regression-suite multi-hop en-us; 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: 7677-841467.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7678,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7678-636590.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7679,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 7679-747073.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7680,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7680-463338.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7681,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7681-319207.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7682,"Theme: travel classification regression-suite multi-hop en-us; 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: 7682-669550.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7683,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7683-282884.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7684,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7684-811408.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7685,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7685-421853.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7686,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7686-852456.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7687,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7687-173828.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7688,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7688-694247.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7689,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7689-940795.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7690,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7690-741002.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7691,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7691-767509.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7692,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7692-577765.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7693,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7693-472477.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7694,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7694-687069.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7695,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7695-898196.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7696,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7696-968311.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7697,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7697-718177.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7698,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7698-456815.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7699,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7699-551510.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7700,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7700-145795.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7701,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7701-973901.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7702,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7702-284347.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7703,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7703-235694.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7704,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7704-945991.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7705,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7705-980733.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7706,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7706-120387.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7707,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7707-695695.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7708,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7708-906896.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7709,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7709-770140.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7710,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7710-999252.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7711,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7711-344162.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7712,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7712-912039.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7713,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7713-981993.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7714,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7714-769866.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7715,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7715-905762.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7716,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7716-664875.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7717,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 7717-295459.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7718,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7718-308620.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7719,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7719-836434.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7720,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7720-301220.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7721,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7721-698550.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7722,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7722-168177.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7723,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7723-163412.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7724,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7724-310294.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7725,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7725-876164.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7726,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7726-148625.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7727,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 7727-821486.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7728,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7728-949821.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7729,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7729-899010.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7730,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7730-906711.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7731,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7731-343638.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7732,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7732-467743.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7733,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 7733-582921.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7734,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7734-839301.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7735,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7735-140540.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7736,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7736-425592.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7737,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7737-731834.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7738,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7738-723249.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7739,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7739-626126.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7740,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7740-175301.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7741,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7741-774669.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7742,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7742-405383.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7743,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7743-126696.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7744,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7744-182190.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7745,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7745-931844.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7746,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7746-144548.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7747,"Theme: travel classification regression-suite multi-hop en-us; 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: 7747-231901.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7748,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7748-233754.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7749,"Theme: travel classification regression-suite multi-hop en-us; 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: 7749-816611.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7750,"Theme: travel classification regression-suite multi-hop en-us; 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: 7750-916764.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7751,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 7751-546501.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7752,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7752-505646.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7753,"Theme: travel classification regression-suite multi-hop en-us; 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: 7753-346880.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7754,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7754-435191.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7755,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7755-891900.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7756,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7756-276617.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7757,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7757-883566.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7758,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7758-377340.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7759,"Theme: travel classification regression-suite multi-hop en-us; 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: 7759-215108.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7760,"Theme: travel classification regression-suite multi-hop en-us; 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: 7760-501876.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7761,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7761-196750.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7762,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 7762-519592.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7763,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7763-447067.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7764,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7764-355766.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7765,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7765-218395.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7766,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7766-472866.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7767,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7767-181416.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7768,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7768-266923.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7769,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7769-621042.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7770,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7770-840628.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7771,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7771-116593.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7772,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7772-396486.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7773,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7773-434122.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7774,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7774-716988.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7775,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7775-899367.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7776,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 7776-803511.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7777,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7777-501400.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7778,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 7778-968023.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7779,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7779-822881.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7780,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7780-323552.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7781,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7781-704995.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7782,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7782-678924.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7783,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 7783-852871.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7784,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7784-247737.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7785,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7785-726706.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7786,"Theme: travel classification regression-suite multi-hop en-us; 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: 7786-707888.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7787,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7787-159775.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7788,"Theme: travel classification regression-suite multi-hop en-us; 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: 7788-191849.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7789,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7789-175044.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7790,"Theme: travel classification regression-suite multi-hop en-us; 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: 7790-147484.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7791,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7791-683715.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7792,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7792-937349.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7793,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7793-364331.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7794,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7794-468449.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7795,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 7795-703907.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7796,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7796-804239.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7797,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7797-202230.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7798,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7798-794320.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7799,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7799-543337.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7800,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7800-184114.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7801,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7801-192717.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7802,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 7802-869467.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7803,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7803-203488.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7804,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7804-536928.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7805,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 7805-207955.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7806,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7806-954222.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7807,"Theme: travel classification regression-suite multi-hop en-us; 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: 7807-858473.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7808,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7808-374977.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7809,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7809-902340.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7810,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7810-376440.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7811,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7811-635676.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7812,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7812-883771.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7813,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7813-586557.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7814,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7814-329080.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7815,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7815-225506.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7816,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7816-874995.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7817,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7817-942725.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7818,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7818-739998.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7819,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7819-119135.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7820,"Theme: travel classification regression-suite multi-hop en-us; 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: 7820-574531.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7821,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7821-178706.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7822,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 7822-942750.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7823,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7823-188933.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7824,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7824-301864.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7825,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7825-947105.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7826,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7826-364537.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7827,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7827-723273.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7828,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7828-635888.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7829,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7829-292246.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7830,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7830-526448.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7831,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7831-620415.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7832,"Theme: travel classification regression-suite multi-hop en-us; 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: 7832-812334.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7833,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7833-634200.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7834,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7834-476816.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7835,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7835-149067.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7836,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7836-233127.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7837,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7837-240874.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7838,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7838-394947.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7839,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7839-206007.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7840,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7840-822202.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7841,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7841-562294.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7842,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7842-699424.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7843,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 7843-270324.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7844,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7844-433949.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7845,"Theme: travel classification regression-suite multi-hop en-us; 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: 7845-265904.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7846,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7846-815046.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7847,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7847-869600.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7848,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7848-108960.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7849,"Theme: travel classification regression-suite multi-hop en-us; 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: 7849-240735.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7850,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7850-613509.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7851,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 7851-687043.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7852,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7852-735005.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7853,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7853-957985.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7854,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7854-984468.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7855,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7855-168566.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7856,"Theme: travel classification regression-suite multi-hop en-us; 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: 7856-166763.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7857,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7857-292954.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7858,"Theme: travel classification regression-suite multi-hop en-us; 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: 7858-173781.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7859,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7859-733158.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7860,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 7860-704077.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7861,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7861-227041.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7862,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7862-427926.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7863,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7863-886776.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7864,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7864-117197.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7865,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7865-248966.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7866,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7866-843852.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7867,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7867-385585.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7868,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7868-805113.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7869,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7869-472947.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7870,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 7870-191780.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7871,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7871-864669.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7872,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7872-115733.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7873,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7873-901290.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7874,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7874-831341.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7875,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7875-698273.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7876,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7876-476801.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7877,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7877-580319.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7878,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7878-283301.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7879,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7879-378981.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7880,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7880-545628.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7881,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7881-171814.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7882,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7882-542018.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7883,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 7883-576943.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7884,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7884-680034.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7885,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7885-748054.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7886,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7886-441943.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7887,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7887-576982.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7888,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7888-128775.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7889,"Theme: travel classification regression-suite multi-hop en-us; 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: 7889-534102.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7890,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 7890-679248.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7891,"Theme: travel classification regression-suite multi-hop en-us; 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: 7891-177101.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7892,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7892-447086.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7893,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7893-766608.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7894,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7894-131175.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7895,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7895-197475.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7896,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7896-126877.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7897,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7897-351631.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7898,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7898-352322.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7899,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7899-963022.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7900,"Theme: travel classification regression-suite multi-hop en-us; 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: 7900-143389.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7901,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7901-306293.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7902,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7902-991172.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7903,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7903-234972.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7904,"Theme: travel classification regression-suite multi-hop en-us; 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: 7904-163587.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7905,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7905-967120.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7906,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7906-667788.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7907,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7907-807467.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7908,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 7908-883047.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7909,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7909-465608.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7910,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7910-587020.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7911,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7911-300833.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7912,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7912-479373.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7913,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7913-244600.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7914,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7914-486563.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7915,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7915-213315.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7916,"Theme: travel classification regression-suite multi-hop en-us; 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: 7916-987891.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7917,"Theme: travel classification regression-suite multi-hop en-us; 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: 7917-413888.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7918,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7918-380088.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7919,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7919-118284.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7920,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7920-823767.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7921,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7921-971959.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7922,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7922-266366.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7923,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7923-885741.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7924,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7924-583320.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7925,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 7925-597146.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7926,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7926-303409.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7927,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7927-557918.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7928,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7928-134946.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7929,"Theme: travel classification regression-suite multi-hop en-us; 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: 7929-988633.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7930,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7930-769182.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7931,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7931-793141.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7932,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 7932-498145.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7933,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 7933-815531.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7934,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7934-524598.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7935,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7935-187592.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7936,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7936-696544.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7937,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7937-201077.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7938,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7938-868060.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7939,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7939-305415.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7940,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7940-818370.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7941,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7941-332657.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7942,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7942-516738.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7943,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7943-559893.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7944,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7944-527409.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7945,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7945-607314.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7946,"Theme: travel classification regression-suite multi-hop en-us; 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: 7946-946020.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7947,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7947-650565.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7948,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7948-788396.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7949,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7949-217565.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7950,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7950-398906.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7951,"Theme: travel classification regression-suite multi-hop en-us; 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: 7951-505851.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7952,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7952-773050.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7953,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7953-234349.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7954,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7954-686616.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7955,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7955-758332.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7956,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7956-792477.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7957,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7957-124555.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7958,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7958-267026.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7959,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7959-182388.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7960,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7960-277087.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7961,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7961-682513.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7962,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7962-503335.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7963,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7963-305324.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7964,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7964-636812.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7965,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7965-287626.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7966,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7966-602137.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7967,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7967-166415.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7968,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7968-101450.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7969,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7969-895809.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7970,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7970-541769.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7971,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7971-958404.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7972,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7972-710137.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7973,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7973-402898.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7974,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7974-694385.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7975,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7975-822240.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7976,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7976-479063.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7977,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7977-947014.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7978,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7978-519930.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7979,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7979-859385.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7980,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7980-549653.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7981,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7981-750432.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7982,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7982-840148.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7983,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7983-158221.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7984,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7984-215907.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7985,"Theme: travel classification regression-suite multi-hop en-us; 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: 7985-311067.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7986,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7986-539920.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7987,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7987-609707.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7988,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7988-466400.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7989,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7989-436110.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7990,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7990-651423.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7991,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7991-162803.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7992,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7992-442542.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7993,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 7993-468439.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+7994,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7994-430868.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7995,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7995-205122.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+7996,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7996-589239.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+7997,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7997-644441.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+7998,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7998-193143.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+7999,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7999-474061.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8000,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8000-535971.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8001,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8001-875592.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8002,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8002-538710.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8003,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8003-207239.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8004,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8004-791613.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8005,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8005-954948.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8006,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8006-800684.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8007,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8007-308853.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8008,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 8008-124327.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8009,"Theme: travel classification regression-suite multi-hop en-us; 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: 8009-123996.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8010,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 8010-747014.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8011,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8011-363646.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8012,"Theme: travel classification regression-suite multi-hop en-us; 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: 8012-485030.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8013,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8013-175097.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8014,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8014-763304.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8015,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8015-952041.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8016,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8016-158228.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8017,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8017-184737.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8018,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8018-850751.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8019,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8019-876775.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8020,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8020-373845.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8021,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8021-830839.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8022,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8022-522897.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8023,"Theme: travel classification regression-suite multi-hop en-us; 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: 8023-775561.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8024,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8024-670839.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8025,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8025-718160.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8026,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8026-130981.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8027,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8027-168423.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8028,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8028-706603.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8029,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8029-434455.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8030,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8030-733978.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8031,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8031-119728.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8032,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8032-491681.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8033,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8033-474242.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8034,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8034-836699.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8035,"Theme: travel classification regression-suite multi-hop en-us; 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: 8035-528136.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8036,"Theme: travel classification regression-suite multi-hop en-us; 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: 8036-128551.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8037,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8037-597302.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8038,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8038-742897.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8039,"Theme: travel classification regression-suite multi-hop en-us; 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: 8039-550388.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8040,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8040-839893.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8041,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8041-280392.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8042,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8042-408663.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8043,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8043-132946.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8044,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8044-948143.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8045,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8045-123085.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8046,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8046-193577.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8047,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8047-246141.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8048,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8048-230291.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8049,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8049-490906.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8050,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8050-688175.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8051,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8051-487885.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8052,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8052-180079.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8053,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8053-750489.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8054,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8054-782851.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8055,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8055-714175.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8056,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8056-821732.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8057,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8057-988777.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8058,"Theme: travel classification regression-suite multi-hop en-us; 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: 8058-910990.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8059,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8059-410964.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8060,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8060-707723.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8061,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8061-344405.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8062,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8062-982694.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8063,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8063-723681.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8064,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8064-222429.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8065,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8065-164108.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8066,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8066-997744.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8067,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8067-152579.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8068,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8068-761460.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8069,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8069-622193.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8070,"Theme: travel classification regression-suite multi-hop en-us; 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: 8070-787169.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8071,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8071-156913.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8072,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8072-441037.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8073,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8073-801104.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8074,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8074-494005.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8075,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8075-231165.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8076,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8076-591197.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8077,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8077-244017.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8078,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8078-346792.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8079,"Theme: travel classification regression-suite multi-hop en-us; 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: 8079-409230.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8080,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8080-679995.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8081,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8081-921365.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8082,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8082-241464.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8083,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8083-808624.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8084,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8084-957468.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8085,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8085-861331.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8086,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8086-234316.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8087,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8087-635022.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8088,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8088-651593.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8089,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 8089-534964.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8090,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8090-190136.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8091,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8091-803368.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8092,"Theme: travel classification regression-suite multi-hop en-us; 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: 8092-165453.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8093,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8093-875802.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8094,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8094-893806.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8095,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8095-723195.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8096,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8096-829602.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8097,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8097-504323.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8098,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 8098-124317.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8099,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8099-168469.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8100,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8100-109294.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8101,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8101-978345.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8102,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8102-905102.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8103,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8103-338561.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8104,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8104-809569.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8105,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8105-683938.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8106,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 8106-563713.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8107,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8107-114958.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8108,"Theme: travel classification regression-suite multi-hop en-us; 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: 8108-578308.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8109,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8109-438327.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8110,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8110-247522.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8111,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8111-120316.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8112,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 8112-572586.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8113,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8113-668772.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8114,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8114-388408.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8115,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8115-295445.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8116,"Theme: travel classification regression-suite multi-hop en-us; 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: 8116-747872.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8117,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8117-546200.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8118,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8118-949037.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8119,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8119-173226.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8120,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8120-103050.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8121,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8121-510281.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8122,"Theme: travel classification regression-suite multi-hop en-us; 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: 8122-297355.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8123,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8123-171511.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8124,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8124-493537.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8125,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8125-259796.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8126,"Theme: travel classification regression-suite multi-hop en-us; 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: 8126-933058.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8127,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8127-689077.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8128,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8128-852277.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8129,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8129-612533.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8130,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8130-133402.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8131,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8131-769707.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8132,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8132-322414.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8133,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8133-696857.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8134,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8134-388340.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8135,"Theme: travel classification regression-suite multi-hop en-us; 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: 8135-609927.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8136,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8136-274201.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8137,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8137-693370.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8138,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8138-163516.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8139,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8139-752712.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8140,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8140-640730.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8141,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8141-543353.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8142,"Theme: travel classification regression-suite multi-hop en-us; 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: 8142-211845.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8143,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8143-546947.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8144,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8144-669965.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8145,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8145-800988.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8146,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8146-873350.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8147,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8147-224619.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8148,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8148-130763.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8149,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 8149-427329.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8150,"Theme: travel classification regression-suite multi-hop en-us; 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: 8150-595722.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8151,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8151-512794.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8152,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8152-592145.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8153,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8153-454060.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8154,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8154-191294.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8155,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8155-316413.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8156,"Theme: travel classification regression-suite multi-hop en-us; 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: 8156-606872.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8157,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8157-573969.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8158,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8158-529718.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8159,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8159-368339.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8160,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8160-922086.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8161,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8161-600282.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8162,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8162-563318.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8163,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8163-865256.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8164,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8164-524972.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8165,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8165-923176.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8166,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8166-332063.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8167,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8167-135955.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8168,"Theme: travel classification regression-suite multi-hop en-us; 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: 8168-565448.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8169,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8169-808613.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8170,"Theme: travel classification regression-suite multi-hop en-us; 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: 8170-881293.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8171,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8171-837394.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8172,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8172-118773.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8173,"Theme: travel classification regression-suite multi-hop en-us; 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: 8173-970572.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8174,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8174-608588.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8175,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8175-993745.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8176,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8176-112183.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8177,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8177-453306.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8178,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8178-559260.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8179,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8179-970642.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8180,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8180-134117.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8181,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8181-996144.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8182,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8182-856692.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8183,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8183-256434.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8184,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8184-703799.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8185,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 8185-775181.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8186,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8186-918640.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8187,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8187-195456.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8188,"Theme: travel classification regression-suite multi-hop en-us; 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: 8188-773330.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8189,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8189-447322.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8190,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8190-525206.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8191,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8191-569420.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8192,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 8192-897254.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8193,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8193-806333.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8194,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8194-625460.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8195,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8195-269587.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8196,"Theme: travel classification regression-suite multi-hop en-us; 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: 8196-935381.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8197,"Theme: travel classification regression-suite multi-hop en-us; 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: 8197-469223.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8198,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8198-185536.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8199,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8199-475136.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8200,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8200-989740.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8201,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8201-849369.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8202,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8202-780191.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8203,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8203-775081.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8204,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8204-650438.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8205,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8205-757690.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8206,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8206-705045.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8207,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8207-457563.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8208,"Theme: travel classification regression-suite multi-hop en-us; 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: 8208-258061.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8209,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8209-571350.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8210,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8210-582930.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8211,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8211-526358.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8212,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8212-609085.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8213,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8213-862392.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8214,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8214-441675.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8215,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8215-541474.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8216,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8216-511158.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8217,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8217-602211.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8218,"Theme: travel classification regression-suite multi-hop en-us; 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: 8218-109143.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8219,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 8219-564063.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8220,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8220-395258.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8221,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8221-614509.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8222,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 8222-398162.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8223,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8223-432499.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8224,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8224-752089.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8225,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 8225-369601.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8226,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8226-427119.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8227,"Theme: travel classification regression-suite multi-hop en-us; 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: 8227-373762.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8228,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8228-296871.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8229,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8229-654818.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8230,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8230-617440.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8231,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8231-572862.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8232,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8232-878466.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8233,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8233-525663.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8234,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8234-607056.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8235,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8235-731547.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8236,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8236-814581.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8237,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8237-359116.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8238,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8238-834307.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8239,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8239-219679.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8240,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8240-269519.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8241,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8241-596927.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8242,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8242-816352.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8243,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8243-564038.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8244,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8244-457763.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8245,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 8245-395052.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8246,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8246-474492.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8247,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8247-455339.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8248,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8248-959028.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8249,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8249-940760.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8250,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8250-220611.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8251,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8251-286596.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8252,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8252-146411.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8253,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8253-360000.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8254,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8254-223286.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8255,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8255-296305.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8256,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 8256-454565.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8257,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8257-982478.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8258,"Theme: travel classification regression-suite multi-hop en-us; 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: 8258-613968.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8259,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8259-971040.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8260,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8260-273827.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8261,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8261-339914.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8262,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8262-927129.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8263,"Theme: travel classification regression-suite multi-hop en-us; 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: 8263-696678.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8264,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8264-919938.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8265,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8265-241588.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8266,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8266-720171.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8267,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8267-262263.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8268,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 8268-120817.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8269,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8269-405759.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8270,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8270-973769.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8271,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8271-575302.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8272,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8272-384166.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8273,"Theme: travel classification regression-suite multi-hop en-us; 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: 8273-789114.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8274,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8274-689807.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8275,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 8275-779563.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8276,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8276-242601.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8277,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8277-813317.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8278,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8278-634303.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8279,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8279-304702.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8280,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8280-258592.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8281,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8281-529365.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8282,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8282-788159.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8283,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8283-136962.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8284,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8284-949190.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8285,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8285-250957.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8286,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8286-594581.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8287,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8287-352137.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8288,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8288-430274.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8289,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8289-320244.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8290,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8290-947963.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8291,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8291-400590.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8292,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8292-980571.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8293,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8293-584390.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8294,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8294-672622.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8295,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8295-498220.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8296,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8296-357010.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8297,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8297-807480.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8298,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8298-143833.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8299,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8299-560957.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8300,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8300-317522.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8301,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8301-442454.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8302,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8302-757572.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8303,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8303-977560.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8304,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 8304-372934.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8305,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8305-124613.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8306,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8306-309087.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8307,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8307-643260.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8308,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8308-961898.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8309,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8309-507654.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8310,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8310-331091.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8311,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8311-763046.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8312,"Theme: travel classification regression-suite multi-hop en-us; 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: 8312-916003.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8313,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8313-658069.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8314,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8314-249592.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8315,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8315-675719.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8316,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8316-219188.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8317,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8317-124942.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8318,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8318-429367.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8319,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8319-703062.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8320,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8320-156056.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8321,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8321-353867.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8322,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8322-417839.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8323,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8323-894783.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8324,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 8324-216200.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8325,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8325-556508.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8326,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 8326-545059.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8327,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8327-464615.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8328,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8328-460052.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8329,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8329-227173.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8330,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8330-579836.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8331,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8331-370147.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8332,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8332-617266.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8333,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8333-655531.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8334,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8334-371404.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8335,"Theme: travel classification regression-suite multi-hop en-us; 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: 8335-792150.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8336,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8336-708525.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8337,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8337-441026.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8338,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8338-617492.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8339,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8339-830323.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8340,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8340-997407.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8341,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8341-331428.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8342,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8342-306942.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8343,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8343-303278.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8344,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8344-614241.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8345,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8345-728760.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8346,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8346-775546.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8347,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8347-780878.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8348,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8348-866244.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8349,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8349-603434.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8350,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8350-324644.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8351,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8351-410488.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8352,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8352-722973.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8353,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8353-491830.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8354,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8354-949602.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8355,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8355-131890.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8356,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8356-758493.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8357,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8357-369895.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8358,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8358-218088.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8359,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8359-292262.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8360,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8360-895584.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8361,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8361-449096.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8362,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 8362-187144.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8363,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8363-355511.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8364,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8364-385451.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8365,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8365-919096.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8366,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8366-998032.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8367,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8367-863030.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8368,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8368-773754.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8369,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8369-507086.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8370,"Theme: travel classification regression-suite multi-hop en-us; 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: 8370-673716.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8371,"Theme: travel classification regression-suite multi-hop en-us; 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: 8371-148941.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8372,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8372-909830.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8373,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8373-198302.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8374,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8374-387790.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8375,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8375-755152.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8376,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8376-763598.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8377,"Theme: travel classification regression-suite multi-hop en-us; 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: 8377-401706.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8378,"Theme: travel classification regression-suite multi-hop en-us; 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: 8378-324384.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8379,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8379-297988.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8380,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8380-517132.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8381,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8381-889984.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8382,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8382-467917.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8383,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8383-309039.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8384,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8384-631877.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8385,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8385-784737.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8386,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8386-449389.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8387,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8387-597961.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8388,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8388-772715.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8389,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 8389-427834.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8390,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 8390-422630.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8391,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8391-917144.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8392,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8392-290283.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8393,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8393-383360.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8394,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8394-615105.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8395,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8395-870542.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8396,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8396-306167.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8397,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8397-919354.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8398,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8398-292729.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8399,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8399-827086.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8400,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8400-198902.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8401,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8401-136965.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8402,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8402-143756.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8403,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8403-822560.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8404,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8404-860435.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8405,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 8405-451252.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8406,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8406-638103.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8407,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8407-215768.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8408,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8408-579726.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8409,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8409-618227.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8410,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 8410-622790.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8411,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8411-634024.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8412,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8412-664735.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8413,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8413-731509.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8414,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8414-243859.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8415,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8415-428359.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8416,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8416-317548.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8417,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8417-980080.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8418,"Theme: travel classification regression-suite multi-hop en-us; 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: 8418-171005.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8419,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8419-659559.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8420,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8420-345492.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8421,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8421-781067.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8422,"Theme: travel classification regression-suite multi-hop en-us; 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: 8422-180627.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8423,"Theme: travel classification regression-suite multi-hop en-us; 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: 8423-606168.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8424,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8424-824615.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8425,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 8425-179927.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8426,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8426-449026.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8427,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8427-243696.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8428,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8428-160719.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8429,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8429-412417.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8430,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8430-442976.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8431,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8431-203644.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8432,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8432-956272.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8433,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8433-143886.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8434,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8434-174921.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8435,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8435-454515.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8436,"Theme: travel classification regression-suite multi-hop en-us; 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: 8436-953921.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8437,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8437-548600.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8438,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8438-650803.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8439,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8439-492300.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8440,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8440-651479.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8441,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8441-553341.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8442,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8442-956351.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8443,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8443-779970.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8444,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8444-165511.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8445,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8445-260025.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8446,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8446-789173.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8447,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8447-276310.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8448,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8448-369327.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8449,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8449-657085.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8450,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8450-429201.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8451,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 8451-184198.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8452,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8452-410021.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8453,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8453-583945.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8454,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8454-612970.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8455,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8455-426848.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8456,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8456-146317.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8457,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8457-276177.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8458,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 8458-226248.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8459,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8459-598849.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8460,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8460-242977.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8461,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8461-537611.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8462,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8462-381956.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8463,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8463-906518.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8464,"Theme: travel classification regression-suite multi-hop en-us; 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: 8464-379607.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8465,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8465-163636.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8466,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8466-973181.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8467,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8467-150927.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8468,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8468-115093.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8469,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8469-865133.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8470,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8470-983386.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8471,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8471-284199.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8472,"Theme: travel classification regression-suite multi-hop en-us; 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: 8472-592535.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8473,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8473-741302.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8474,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8474-141829.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8475,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8475-118024.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8476,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8476-875187.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8477,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8477-153964.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8478,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8478-857907.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8479,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8479-997762.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8480,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8480-629209.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8481,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8481-871028.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8482,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8482-695792.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8483,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8483-847293.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8484,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8484-100906.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8485,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8485-821338.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8486,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8486-421432.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8487,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8487-524333.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8488,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8488-201173.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8489,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8489-534091.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8490,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8490-814681.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8491,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8491-431814.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8492,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8492-574251.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8493,"Theme: travel classification regression-suite multi-hop en-us; 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: 8493-623509.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8494,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 8494-938338.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8495,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8495-982864.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8496,"Theme: travel classification regression-suite multi-hop en-us; 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: 8496-426189.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8497,"Theme: travel classification regression-suite multi-hop en-us; 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: 8497-628199.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8498,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8498-847644.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8499,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8499-573419.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8500,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8500-922421.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8501,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8501-981021.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8502,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8502-988294.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8503,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8503-483339.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8504,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8504-572514.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8505,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8505-384817.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8506,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8506-596624.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8507,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8507-504089.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8508,"Theme: travel classification regression-suite multi-hop en-us; 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: 8508-583604.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8509,"Theme: travel classification regression-suite multi-hop en-us; 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: 8509-551929.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8510,"Theme: travel classification regression-suite multi-hop en-us; 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: 8510-483308.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8511,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8511-616303.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8512,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8512-804620.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8513,"Theme: travel classification regression-suite multi-hop en-us; 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: 8513-480736.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8514,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8514-922173.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8515,"Theme: travel classification regression-suite multi-hop en-us; 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: 8515-190949.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8516,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8516-479538.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8517,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8517-495958.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8518,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8518-767383.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8519,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8519-452815.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8520,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8520-830315.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8521,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8521-422244.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8522,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8522-221845.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8523,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8523-343954.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8524,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8524-665974.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8525,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8525-719890.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8526,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8526-605588.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8527,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8527-223281.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8528,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8528-359570.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8529,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8529-182689.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8530,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8530-827497.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8531,"Theme: travel classification regression-suite multi-hop en-us; 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: 8531-690827.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8532,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8532-279181.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8533,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8533-649636.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8534,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8534-464480.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8535,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8535-234269.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8536,"Theme: travel classification regression-suite multi-hop en-us; 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: 8536-448571.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8537,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8537-230112.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8538,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8538-258445.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8539,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8539-284868.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8540,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8540-690968.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8541,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8541-185588.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8542,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8542-296744.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8543,"Theme: travel classification regression-suite multi-hop en-us; 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: 8543-985193.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8544,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8544-555999.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8545,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8545-692210.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8546,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 8546-189901.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8547,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8547-840267.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8548,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8548-859585.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8549,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8549-594214.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8550,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8550-578280.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8551,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8551-391560.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8552,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8552-794704.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8553,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8553-483037.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8554,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8554-868679.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8555,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8555-291353.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8556,"Theme: travel classification regression-suite multi-hop en-us; 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: 8556-807027.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8557,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8557-971644.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8558,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8558-399289.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8559,"Theme: travel classification regression-suite multi-hop en-us; 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: 8559-538625.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8560,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8560-128924.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8561,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8561-551981.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8562,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8562-585810.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8563,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8563-808898.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8564,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8564-480296.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8565,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8565-193076.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8566,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8566-542144.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8567,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8567-390159.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8568,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8568-602854.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8569,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8569-400638.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8570,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8570-147293.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8571,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8571-733346.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8572,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8572-578353.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8573,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8573-451693.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8574,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8574-897601.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8575,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8575-759753.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8576,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 8576-370227.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8577,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8577-716704.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8578,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8578-917897.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8579,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8579-266950.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8580,"Theme: travel classification regression-suite multi-hop en-us; 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: 8580-113140.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8581,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8581-362676.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8582,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8582-621929.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8583,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8583-933462.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8584,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8584-455602.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8585,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8585-845759.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8586,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8586-675603.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8587,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8587-266793.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8588,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8588-744635.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8589,"Theme: travel classification regression-suite multi-hop en-us; 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: 8589-873629.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8590,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8590-516285.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8591,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8591-330724.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8592,"Theme: travel classification regression-suite multi-hop en-us; 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: 8592-998135.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8593,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8593-242994.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8594,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8594-251118.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8595,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8595-204777.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8596,"Theme: travel classification regression-suite multi-hop en-us; 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: 8596-921608.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8597,"Theme: travel classification regression-suite multi-hop en-us; 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: 8597-288315.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8598,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8598-277512.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8599,"Theme: travel classification regression-suite multi-hop en-us; 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: 8599-340879.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8600,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8600-520555.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8601,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8601-479257.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8602,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8602-825576.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8603,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8603-523198.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8604,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8604-546158.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8605,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8605-314361.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8606,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8606-399747.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8607,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8607-842146.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8608,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8608-410424.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8609,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8609-704540.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8610,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8610-822107.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8611,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8611-825604.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8612,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8612-813390.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8613,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8613-806689.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8614,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8614-630965.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8615,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8615-752340.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8616,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8616-670088.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8617,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8617-194941.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8618,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8618-336503.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8619,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8619-836513.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8620,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8620-441232.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8621,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8621-498156.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8622,"Theme: travel classification regression-suite multi-hop en-us; 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: 8622-616726.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8623,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8623-702210.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8624,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8624-895918.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8625,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8625-746072.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8626,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8626-297405.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8627,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8627-808826.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8628,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8628-771005.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8629,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8629-818215.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8630,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8630-449443.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8631,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8631-311345.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8632,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8632-189212.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8633,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8633-240377.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8634,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 8634-123290.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8635,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 8635-261259.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8636,"Theme: travel classification regression-suite multi-hop en-us; 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: 8636-826445.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8637,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8637-175546.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8638,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8638-891402.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8639,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8639-934779.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8640,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8640-325908.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8641,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8641-782418.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8642,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8642-567727.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8643,"Theme: travel classification regression-suite multi-hop en-us; 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: 8643-330001.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8644,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8644-600228.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8645,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8645-886497.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8646,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8646-949493.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8647,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8647-246339.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8648,"Theme: travel classification regression-suite multi-hop en-us; 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: 8648-653256.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8649,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8649-279041.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8650,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8650-891294.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8651,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8651-218690.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8652,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 8652-438605.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8653,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8653-644968.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8654,"Theme: travel classification regression-suite multi-hop en-us; 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: 8654-869006.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8655,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8655-702681.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8656,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8656-864857.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8657,"Theme: travel classification regression-suite multi-hop en-us; 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: 8657-541440.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8658,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8658-357414.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8659,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 8659-936446.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8660,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8660-178135.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8661,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 8661-936278.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8662,"Theme: travel classification regression-suite multi-hop en-us; 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: 8662-678293.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8663,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8663-538590.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8664,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8664-709270.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8665,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8665-854225.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8666,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8666-296279.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8667,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8667-776176.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8668,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8668-682379.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8669,"Theme: travel classification regression-suite multi-hop en-us; 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: 8669-691799.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8670,"Theme: travel classification regression-suite multi-hop en-us; 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: 8670-854749.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8671,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8671-172339.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8672,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8672-313422.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8673,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8673-849839.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8674,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8674-107726.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8675,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8675-105343.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8676,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8676-639097.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8677,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8677-215455.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8678,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8678-241360.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8679,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8679-970020.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8680,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8680-602062.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8681,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8681-911396.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8682,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8682-929560.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8683,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8683-134200.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8684,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8684-595841.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8685,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8685-345771.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8686,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8686-212285.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8687,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8687-460011.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8688,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8688-470849.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8689,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8689-985149.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8690,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8690-795206.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8691,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 8691-669385.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8692,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8692-621280.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8693,"Theme: travel classification regression-suite multi-hop en-us; 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: 8693-264310.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8694,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8694-333037.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8695,"Theme: travel classification regression-suite multi-hop en-us; 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: 8695-405414.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8696,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8696-479708.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8697,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8697-604036.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8698,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8698-710655.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8699,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8699-609589.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8700,"Theme: travel classification regression-suite multi-hop en-us; 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: 8700-573492.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8701,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 8701-295334.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8702,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8702-258947.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8703,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8703-832692.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8704,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8704-730147.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8705,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8705-335948.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8706,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8706-698805.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8707,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8707-571713.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8708,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8708-366252.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8709,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8709-951176.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8710,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8710-571054.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8711,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8711-472956.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8712,"Theme: travel classification regression-suite multi-hop en-us; 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: 8712-398737.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8713,"Theme: travel classification regression-suite multi-hop en-us; 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: 8713-323285.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8714,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8714-951758.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8715,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8715-957888.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8716,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 8716-814055.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8717,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8717-185178.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8718,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8718-712506.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8719,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8719-886442.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8720,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8720-681856.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8721,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8721-807804.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8722,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8722-654762.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8723,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8723-376065.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8724,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8724-399796.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8725,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8725-345126.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8726,"Theme: travel classification regression-suite multi-hop en-us; 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: 8726-627049.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8727,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8727-996464.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8728,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8728-414615.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8729,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8729-690939.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8730,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8730-940138.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8731,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 8731-573661.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8732,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8732-849164.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8733,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8733-422898.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8734,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8734-771346.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8735,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8735-553443.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8736,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8736-543323.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8737,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8737-681198.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8738,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8738-670795.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8739,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8739-665871.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8740,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8740-696358.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8741,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8741-105963.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8742,"Theme: travel classification regression-suite multi-hop en-us; 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: 8742-649192.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8743,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8743-508957.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8744,"Theme: travel classification regression-suite multi-hop en-us; 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: 8744-449884.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8745,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8745-517863.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8746,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8746-634885.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8747,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8747-672667.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8748,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8748-327134.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8749,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8749-467122.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8750,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8750-955807.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8751,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8751-168847.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8752,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8752-729510.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8753,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8753-253936.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8754,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8754-292066.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8755,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8755-167339.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8756,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8756-994421.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8757,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8757-685869.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8758,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8758-122105.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8759,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8759-493432.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8760,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8760-309563.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8761,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8761-599869.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8762,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8762-310988.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8763,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8763-516769.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8764,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8764-143422.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8765,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8765-968867.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8766,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8766-278899.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8767,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8767-357898.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8768,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8768-958663.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8769,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8769-987523.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8770,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8770-807640.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8771,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 8771-810612.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8772,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8772-665845.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8773,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8773-320215.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8774,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8774-476023.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8775,"Theme: travel classification regression-suite multi-hop en-us; 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: 8775-624319.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8776,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8776-536264.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8777,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8777-619311.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8778,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8778-829425.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8779,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8779-389785.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8780,"Theme: travel classification regression-suite multi-hop en-us; 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: 8780-779240.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8781,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8781-328580.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8782,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8782-349598.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8783,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8783-817519.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8784,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8784-441273.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8785,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8785-240058.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8786,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8786-378026.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8787,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8787-948891.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8788,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8788-943182.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8789,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 8789-203095.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8790,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8790-980191.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8791,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8791-783379.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8792,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 8792-102786.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8793,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8793-739045.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8794,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8794-924112.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8795,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8795-135277.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8796,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8796-844641.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8797,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 8797-739616.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8798,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8798-964811.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8799,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8799-202955.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8800,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8800-332867.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8801,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8801-403727.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8802,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8802-205889.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8803,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8803-579657.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8804,"Theme: travel classification regression-suite multi-hop en-us; 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: 8804-448815.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8805,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8805-424125.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8806,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8806-621714.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8807,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8807-496978.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8808,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8808-689159.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8809,"Theme: travel classification regression-suite multi-hop en-us; 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: 8809-753431.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8810,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8810-394451.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8811,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8811-926035.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8812,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8812-468795.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8813,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8813-743873.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8814,"Theme: travel classification regression-suite multi-hop en-us; 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: 8814-969132.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8815,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8815-419985.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8816,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8816-645152.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8817,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8817-147690.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8818,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8818-290233.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8819,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8819-172907.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8820,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8820-449251.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8821,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8821-136698.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8822,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8822-865678.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8823,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8823-828737.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8824,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8824-492624.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8825,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 8825-944830.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8826,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8826-337831.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8827,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8827-987541.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8828,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8828-941267.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8829,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8829-542313.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8830,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8830-816602.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8831,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 8831-109924.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8832,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8832-483288.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8833,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8833-379114.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8834,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8834-666022.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8835,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8835-892401.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8836,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8836-201215.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8837,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8837-438008.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8838,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8838-286697.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8839,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8839-823826.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8840,"Theme: travel classification regression-suite multi-hop en-us; 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: 8840-815257.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8841,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8841-325790.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8842,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 8842-267208.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8843,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8843-319601.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8844,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8844-591824.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8845,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8845-509238.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8846,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8846-982947.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8847,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8847-347243.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8848,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8848-944016.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8849,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8849-709519.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8850,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8850-662024.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8851,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8851-611041.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8852,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8852-794646.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8853,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8853-311022.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8854,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8854-317401.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8855,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8855-288801.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8856,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8856-476905.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8857,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8857-472727.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8858,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8858-716498.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8859,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8859-244460.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8860,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8860-431482.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8861,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8861-748047.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8862,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8862-790595.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8863,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8863-692757.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8864,"Theme: travel classification regression-suite multi-hop en-us; 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: 8864-685770.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8865,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8865-594680.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8866,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 8866-767581.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8867,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8867-668899.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8868,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8868-107170.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8869,"Theme: travel classification regression-suite multi-hop en-us; 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: 8869-803316.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8870,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8870-940703.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8871,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8871-890279.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8872,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 8872-454883.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8873,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8873-239693.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8874,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8874-745834.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8875,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8875-320087.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8876,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8876-150154.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8877,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8877-307039.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8878,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8878-594122.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8879,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8879-391670.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8880,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8880-369162.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8881,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8881-636500.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8882,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8882-107034.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8883,"Theme: travel classification regression-suite multi-hop en-us; 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: 8883-726230.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8884,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8884-148181.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8885,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8885-759718.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8886,"Theme: travel classification regression-suite multi-hop en-us; 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: 8886-664852.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8887,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8887-373099.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8888,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8888-844933.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8889,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8889-393728.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8890,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8890-336691.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8891,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8891-463230.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8892,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8892-697023.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8893,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8893-839095.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8894,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8894-391923.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8895,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8895-964743.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8896,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8896-522892.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8897,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8897-204819.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8898,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8898-836668.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8899,"Theme: travel classification regression-suite multi-hop en-us; 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: 8899-978259.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8900,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8900-713820.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8901,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8901-131760.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8902,"Theme: travel classification regression-suite multi-hop en-us; 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: 8902-598618.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8903,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8903-767946.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8904,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8904-994739.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8905,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8905-578556.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8906,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8906-395602.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8907,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8907-614024.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8908,"Theme: travel classification regression-suite multi-hop en-us; 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: 8908-355343.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8909,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8909-328124.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8910,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 8910-538357.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8911,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8911-988755.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8912,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8912-682841.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8913,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8913-966718.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8914,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8914-339365.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8915,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8915-816450.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8916,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8916-903492.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8917,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8917-710502.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8918,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8918-694270.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8919,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8919-235125.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8920,"Theme: travel classification regression-suite multi-hop en-us; 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: 8920-377063.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8921,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8921-643072.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8922,"Theme: travel classification regression-suite multi-hop en-us; 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: 8922-413932.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8923,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 8923-637104.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8924,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8924-176952.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8925,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8925-398067.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8926,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8926-463737.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8927,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8927-747948.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8928,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 8928-351242.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8929,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8929-591111.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8930,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8930-959969.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8931,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8931-181761.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8932,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8932-948463.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8933,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8933-657128.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8934,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8934-593528.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8935,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8935-619390.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8936,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8936-949855.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8937,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8937-173020.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8938,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8938-161592.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8939,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8939-602565.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8940,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 8940-455347.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8941,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8941-101127.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8942,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8942-988912.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8943,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 8943-653271.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8944,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8944-132427.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8945,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8945-675756.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8946,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 8946-341150.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8947,"Theme: travel classification regression-suite multi-hop en-us; 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: 8947-832946.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8948,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8948-521751.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8949,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8949-238628.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8950,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8950-569109.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8951,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8951-494340.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8952,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8952-841285.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8953,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8953-780673.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8954,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 8954-304669.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8955,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 8955-434838.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8956,"Theme: travel classification regression-suite multi-hop en-us; 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: 8956-335441.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8957,"Theme: travel classification regression-suite multi-hop en-us; 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: 8957-870403.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8958,"Theme: travel classification regression-suite multi-hop en-us; 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: 8958-279105.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8959,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8959-464979.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8960,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8960-389126.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8961,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8961-949731.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8962,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8962-247508.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8963,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8963-470945.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8964,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8964-975196.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8965,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8965-465989.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8966,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8966-986293.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8967,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8967-842292.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8968,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8968-723165.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8969,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8969-190390.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8970,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8970-181907.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8971,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8971-826820.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8972,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8972-515160.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8973,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8973-635512.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8974,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8974-246353.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8975,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8975-804352.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8976,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8976-808014.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+8977,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8977-282085.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8978,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8978-772682.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8979,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8979-520710.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8980,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8980-586080.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8981,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8981-552369.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8982,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 8982-929449.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8983,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8983-240513.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8984,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8984-952653.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8985,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8985-157997.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8986,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8986-684820.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8987,"Theme: travel classification regression-suite multi-hop en-us; 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: 8987-699536.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8988,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8988-693947.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8989,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8989-791547.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8990,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8990-604956.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8991,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8991-414141.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8992,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8992-125873.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8993,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8993-520854.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8994,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8994-383523.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+8995,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8995-311331.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+8996,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8996-687304.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8997,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8997-767861.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+8998,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8998-624670.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+8999,"Theme: travel classification regression-suite multi-hop en-us; 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: 8999-286939.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9000,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9000-521181.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9001,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 9001-649729.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9002,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9002-497665.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9003,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9003-660080.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9004,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9004-304416.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9005,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9005-785586.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9006,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9006-625505.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9007,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9007-227435.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9008,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9008-571206.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9009,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9009-453274.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9010,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9010-429433.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9011,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9011-501741.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9012,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9012-207941.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9013,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 9013-372150.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9014,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9014-316315.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9015,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9015-785477.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9016,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9016-242062.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9017,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9017-571437.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9018,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9018-335844.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9019,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 9019-666082.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9020,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9020-567775.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9021,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 9021-180243.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9022,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9022-931508.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9023,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9023-793696.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9024,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9024-649079.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9025,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9025-990808.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9026,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9026-137971.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9027,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 9027-364701.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9028,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9028-230410.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9029,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9029-514943.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9030,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 9030-839996.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9031,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9031-763880.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9032,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9032-304596.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9033,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9033-373502.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9034,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9034-805934.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9035,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9035-436044.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9036,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9036-618957.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9037,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9037-461427.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9038,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9038-759809.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9039,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9039-508429.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9040,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9040-468463.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9041,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9041-274679.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9042,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9042-816584.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9043,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9043-861525.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9044,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9044-726007.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9045,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9045-654268.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9046,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9046-242572.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9047,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9047-544606.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9048,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9048-757788.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9049,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9049-796976.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9050,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9050-743929.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9051,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9051-410849.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9052,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9052-951457.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9053,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9053-536120.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9054,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9054-237117.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9055,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9055-179620.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9056,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9056-994109.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9057,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9057-697856.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9058,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9058-211121.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9059,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9059-429099.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9060,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9060-130359.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9061,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9061-583109.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9062,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9062-359928.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9063,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9063-523840.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9064,"Theme: travel classification regression-suite multi-hop en-us; 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: 9064-651223.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9065,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9065-177667.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9066,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9066-546033.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9067,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9067-447134.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9068,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9068-465978.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9069,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9069-900301.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9070,"Theme: travel classification regression-suite multi-hop en-us; 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: 9070-818073.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9071,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9071-712488.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9072,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9072-670058.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9073,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9073-849781.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9074,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9074-216767.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9075,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9075-757917.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9076,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 9076-455480.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9077,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9077-923616.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9078,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9078-224139.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9079,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9079-562991.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9080,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9080-448457.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9081,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9081-435776.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9082,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9082-155540.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9083,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9083-436424.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9084,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9084-161836.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9085,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9085-367304.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9086,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9086-771645.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9087,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9087-530337.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9088,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9088-838979.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9089,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9089-553850.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9090,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9090-131560.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9091,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9091-301250.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9092,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9092-511360.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9093,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9093-516504.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9094,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9094-194459.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9095,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9095-903447.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9096,"Theme: travel classification regression-suite multi-hop en-us; 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: 9096-912829.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9097,"Theme: travel classification regression-suite multi-hop en-us; 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: 9097-426766.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9098,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 9098-541195.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9099,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9099-863171.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9100,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9100-938581.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9101,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9101-506025.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9102,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9102-861861.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9103,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9103-736018.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9104,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9104-363465.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9105,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9105-282027.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9106,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9106-490173.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9107,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9107-200405.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9108,"Theme: travel classification regression-suite multi-hop en-us; 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: 9108-162783.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9109,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9109-402245.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9110,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9110-991816.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9111,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9111-552628.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9112,"Theme: travel classification regression-suite multi-hop en-us; 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: 9112-530117.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9113,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9113-574024.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9114,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 9114-334175.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9115,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9115-952210.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9116,"Theme: travel classification regression-suite multi-hop en-us; 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: 9116-316009.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9117,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9117-249847.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9118,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 9118-591675.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9119,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9119-676944.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9120,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 9120-973893.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9121,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9121-701513.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9122,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9122-157074.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9123,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9123-168796.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9124,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9124-424612.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9125,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9125-123923.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9126,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9126-133123.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9127,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9127-109675.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9128,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9128-496339.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9129,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9129-217278.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9130,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9130-802742.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9131,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9131-968579.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9132,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 9132-744595.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9133,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9133-380531.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9134,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9134-555631.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9135,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9135-538270.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9136,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9136-792767.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9137,"Theme: travel classification regression-suite multi-hop en-us; 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: 9137-462018.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9138,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9138-867882.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9139,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9139-917846.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9140,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9140-867839.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9141,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 9141-155572.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9142,"Theme: travel classification regression-suite multi-hop en-us; 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: 9142-107814.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9143,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9143-998161.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9144,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9144-794495.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9145,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9145-133561.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9146,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9146-361283.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9147,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9147-837418.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9148,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9148-117995.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9149,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9149-559026.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9150,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9150-855523.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9151,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9151-897130.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9152,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9152-662774.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9153,"Theme: travel classification regression-suite multi-hop en-us; 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: 9153-728547.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9154,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9154-133919.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9155,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9155-384899.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9156,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9156-806549.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9157,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9157-755063.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9158,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9158-833232.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9159,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9159-769721.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9160,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9160-447019.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9161,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9161-978365.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9162,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9162-439365.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9163,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9163-655950.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9164,"Theme: travel classification regression-suite multi-hop en-us; 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: 9164-518546.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9165,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9165-163844.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9166,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9166-194249.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9167,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 9167-270818.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9168,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9168-741244.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9169,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9169-163631.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9170,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9170-973668.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9171,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9171-410280.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9172,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9172-351997.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9173,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9173-654280.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9174,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9174-657942.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9175,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9175-292054.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9176,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9176-452829.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9177,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 9177-210854.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9178,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9178-190359.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9179,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9179-779895.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9180,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9180-547032.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9181,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9181-926381.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9182,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9182-519146.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9183,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9183-607400.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9184,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9184-185925.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9185,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9185-785239.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9186,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9186-637779.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9187,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 9187-631597.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9188,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9188-575469.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9189,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 9189-272736.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9190,"Theme: travel classification regression-suite multi-hop en-us; 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: 9190-322624.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9191,"Theme: travel classification regression-suite multi-hop en-us; 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: 9191-304211.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9192,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9192-465176.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9193,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9193-177873.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9194,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9194-460058.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9195,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9195-525967.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9196,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9196-717402.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9197,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9197-497477.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9198,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9198-259762.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9199,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9199-688266.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9200,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9200-512808.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9201,"Theme: travel classification regression-suite multi-hop en-us; 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: 9201-875950.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9202,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9202-964435.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9203,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 9203-894448.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9204,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9204-942744.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9205,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9205-818396.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9206,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9206-502016.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9207,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9207-514596.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9208,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9208-819954.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9209,"Theme: travel classification regression-suite multi-hop en-us; 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: 9209-429378.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9210,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9210-638172.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9211,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9211-350500.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9212,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9212-950064.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9213,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9213-760609.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9214,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9214-272388.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9215,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9215-687633.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9216,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9216-189909.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9217,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9217-449495.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9218,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9218-516306.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9219,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9219-208120.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9220,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9220-519164.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9221,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 9221-931023.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9222,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9222-974356.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9223,"Theme: travel classification regression-suite multi-hop en-us; 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: 9223-796833.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9224,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9224-831506.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9225,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9225-828807.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9226,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9226-865730.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9227,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9227-934222.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9228,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9228-777502.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9229,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9229-378068.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9230,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9230-215629.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9231,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9231-168745.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9232,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9232-685728.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9233,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9233-469789.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9234,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9234-442505.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9235,"Theme: travel classification regression-suite multi-hop en-us; 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: 9235-891835.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9236,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9236-346034.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9237,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9237-454513.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9238,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9238-778426.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9239,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 9239-239773.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9240,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9240-516528.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9241,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9241-748766.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9242,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 9242-803019.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9243,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9243-491714.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9244,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9244-535570.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9245,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9245-425735.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9246,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9246-354047.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9247,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9247-408940.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9248,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9248-549041.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9249,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9249-473535.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9250,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9250-431339.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9251,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9251-263075.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9252,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9252-549368.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9253,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 9253-426502.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9254,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9254-714240.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9255,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9255-274781.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9256,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9256-865988.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9257,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9257-698389.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9258,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9258-899512.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9259,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9259-814684.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9260,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9260-312594.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9261,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9261-829334.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9262,"Theme: travel classification regression-suite multi-hop en-us; 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: 9262-868341.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9263,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9263-358421.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9264,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9264-804725.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9265,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9265-450991.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9266,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9266-925856.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9267,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9267-782955.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9268,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9268-853049.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9269,"Theme: travel classification regression-suite multi-hop en-us; 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: 9269-632968.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9270,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9270-621357.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9271,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 9271-687385.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9272,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9272-807608.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9273,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9273-797486.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9274,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9274-929123.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9275,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9275-959957.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9276,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 9276-479868.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9277,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9277-311790.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9278,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9278-900453.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9279,"Theme: travel classification regression-suite multi-hop en-us; 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: 9279-810149.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9280,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 9280-188174.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9281,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9281-701079.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9282,"Theme: travel classification regression-suite multi-hop en-us; 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: 9282-444029.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9283,"Theme: travel classification regression-suite multi-hop en-us; 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: 9283-771191.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9284,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9284-879849.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9285,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9285-700211.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9286,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9286-883377.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9287,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9287-707048.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9288,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9288-134003.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9289,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9289-783673.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9290,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9290-803718.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9291,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9291-625843.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9292,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9292-939117.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9293,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 9293-553628.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9294,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9294-577209.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9295,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9295-879128.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9296,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9296-562412.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9297,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9297-646649.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9298,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9298-852282.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9299,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9299-958572.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9300,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9300-524706.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9301,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9301-382346.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9302,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9302-764974.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9303,"Theme: travel classification regression-suite multi-hop en-us; 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: 9303-367209.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9304,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9304-682359.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9305,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9305-999358.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9306,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9306-397358.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9307,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9307-762164.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9308,"Theme: travel classification regression-suite multi-hop en-us; 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: 9308-908427.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9309,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9309-805718.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9310,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9310-815828.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9311,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9311-738604.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9312,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9312-536878.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9313,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9313-156447.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9314,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9314-132001.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9315,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9315-938098.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9316,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 9316-508787.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9317,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 9317-867817.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9318,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9318-707333.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9319,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9319-283531.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9320,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9320-960820.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9321,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9321-685767.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9322,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9322-383724.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9323,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9323-667652.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9324,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9324-304864.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9325,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9325-396275.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9326,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9326-229012.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9327,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9327-640061.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9328,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 9328-573671.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9329,"Theme: travel classification regression-suite multi-hop en-us; 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: 9329-605938.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9330,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9330-250439.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9331,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9331-146743.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9332,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9332-433696.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9333,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9333-521884.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9334,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9334-427154.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9335,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9335-345215.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9336,"Theme: travel classification regression-suite multi-hop en-us; 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: 9336-834639.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9337,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9337-434017.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9338,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9338-610161.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9339,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 9339-907423.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9340,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9340-409672.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9341,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9341-282170.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9342,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9342-610018.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9343,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9343-248550.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9344,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9344-535741.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9345,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9345-419805.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9346,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9346-962824.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9347,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9347-409837.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9348,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9348-463881.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9349,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9349-182052.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9350,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9350-313153.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9351,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9351-125735.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9352,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9352-144101.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9353,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9353-950147.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9354,"Theme: travel classification regression-suite multi-hop en-us; 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: 9354-538921.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9355,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9355-196240.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9356,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9356-972670.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9357,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9357-538252.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9358,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 9358-629622.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9359,"Theme: travel classification regression-suite multi-hop en-us; 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: 9359-690309.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9360,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9360-356286.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9361,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9361-730384.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9362,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9362-901871.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9363,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9363-774209.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9364,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9364-248533.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9365,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 9365-110883.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9366,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9366-860290.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9367,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9367-523933.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9368,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9368-544382.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9369,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9369-924127.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9370,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9370-876071.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9371,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9371-535336.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9372,"Theme: travel classification regression-suite multi-hop en-us; 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: 9372-194295.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9373,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9373-664442.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9374,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9374-217124.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9375,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9375-795217.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9376,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9376-972464.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9377,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9377-702343.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9378,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9378-425328.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9379,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 9379-428528.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9380,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9380-196230.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9381,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 9381-155968.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9382,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9382-173849.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9383,"Theme: travel classification regression-suite multi-hop en-us; 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: 9383-381754.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9384,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9384-446419.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9385,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9385-181876.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9386,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9386-832279.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9387,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9387-491036.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9388,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9388-794839.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9389,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9389-148356.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9390,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9390-211163.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9391,"Theme: travel classification regression-suite multi-hop en-us; 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: 9391-241377.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9392,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9392-488839.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9393,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9393-263141.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9394,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9394-732339.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9395,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9395-613713.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9396,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9396-211171.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9397,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9397-842889.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9398,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9398-397320.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9399,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9399-603255.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9400,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9400-696435.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9401,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9401-497576.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9402,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9402-955632.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9403,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9403-790517.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9404,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9404-670315.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9405,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 9405-851308.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9406,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9406-936136.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9407,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9407-685071.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9408,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9408-750005.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9409,"Theme: travel classification regression-suite multi-hop en-us; 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: 9409-557663.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9410,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9410-183059.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9411,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9411-556377.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9412,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9412-142873.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9413,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9413-953358.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9414,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9414-241245.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9415,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9415-272505.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9416,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9416-174882.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9417,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9417-378314.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9418,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9418-912173.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9419,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9419-166005.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9420,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9420-186249.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9421,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9421-891997.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9422,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9422-687208.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9423,"Theme: travel classification regression-suite multi-hop en-us; 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: 9423-547610.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9424,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 9424-985540.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9425,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9425-324129.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9426,"Theme: travel classification regression-suite multi-hop en-us; 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: 9426-570756.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9427,"Theme: travel classification regression-suite multi-hop en-us; 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: 9427-504436.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9428,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 9428-137644.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9429,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9429-264298.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9430,"Theme: travel classification regression-suite multi-hop en-us; 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: 9430-615545.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9431,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9431-300193.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9432,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9432-340856.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9433,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9433-513905.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9434,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9434-624050.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9435,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9435-597886.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9436,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9436-773685.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9437,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9437-990881.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9438,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9438-424406.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9439,"Theme: travel classification regression-suite multi-hop en-us; 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: 9439-522198.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9440,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9440-367787.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9441,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9441-912708.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9442,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 9442-706701.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9443,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9443-710869.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9444,"Theme: travel classification regression-suite multi-hop en-us; 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: 9444-630518.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9445,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9445-573588.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9446,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9446-409244.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9447,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9447-630583.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9448,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9448-852921.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9449,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9449-174392.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9450,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9450-660934.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9451,"Theme: travel classification regression-suite multi-hop en-us; 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: 9451-503477.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9452,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9452-935621.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9453,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9453-959963.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9454,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9454-969842.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9455,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9455-133906.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9456,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9456-691967.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9457,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9457-302988.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9458,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9458-238329.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9459,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9459-583794.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9460,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 9460-390743.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9461,"Theme: travel classification regression-suite multi-hop en-us; 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: 9461-502998.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9462,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9462-477862.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9463,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9463-963302.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9464,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9464-929468.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9465,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9465-303610.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9466,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 9466-744212.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9467,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9467-945717.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9468,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9468-988748.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9469,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9469-633865.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9470,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9470-601523.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9471,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9471-757273.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9472,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9472-464132.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9473,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9473-351785.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9474,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9474-668684.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9475,"Theme: travel classification regression-suite multi-hop en-us; 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: 9475-529647.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9476,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9476-419586.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9477,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9477-752103.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9478,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9478-526476.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9479,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 9479-973584.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9480,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9480-929840.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9481,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9481-424689.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9482,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9482-155134.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9483,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9483-436399.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9484,"Theme: travel classification regression-suite multi-hop en-us; 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: 9484-315092.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9485,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9485-189898.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9486,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 9486-375719.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9487,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9487-110363.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9488,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9488-982206.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9489,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9489-951552.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9490,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9490-694606.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9491,"Theme: travel classification regression-suite multi-hop en-us; 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: 9491-818779.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9492,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9492-730288.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9493,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9493-164801.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9494,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9494-441405.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9495,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9495-616210.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9496,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9496-905612.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9497,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9497-635123.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9498,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9498-669037.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9499,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 9499-108860.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9500,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9500-632295.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9501,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9501-771995.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9502,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9502-749801.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9503,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9503-267103.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9504,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 9504-228429.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9505,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9505-223850.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9506,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 9506-189986.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9507,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9507-147480.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9508,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9508-553944.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9509,"Theme: travel classification regression-suite multi-hop en-us; 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: 9509-170583.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9510,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9510-653876.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9511,"Theme: travel classification regression-suite multi-hop en-us; 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: 9511-312449.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9512,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9512-916020.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9513,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9513-572219.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9514,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9514-825721.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9515,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 9515-572584.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9516,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9516-350447.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9517,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9517-272349.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9518,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9518-691767.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9519,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9519-376081.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9520,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9520-345729.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9521,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9521-215534.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9522,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9522-130779.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9523,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9523-754310.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9524,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9524-260701.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9525,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9525-692549.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9526,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9526-509230.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9527,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 9527-332176.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9528,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9528-986695.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9529,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9529-661253.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9530,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9530-178365.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9531,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9531-184058.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9532,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9532-231796.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9533,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9533-520660.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9534,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9534-248464.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9535,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9535-667045.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9536,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9536-369855.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9537,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9537-151501.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9538,"Theme: travel classification regression-suite multi-hop en-us; 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: 9538-836811.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9539,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9539-486651.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9540,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 9540-662401.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9541,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9541-129005.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9542,"Theme: travel classification regression-suite multi-hop en-us; 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: 9542-277313.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9543,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 9543-583943.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9544,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9544-422252.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9545,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9545-932397.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9546,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9546-447583.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9547,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9547-728719.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9548,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9548-903119.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9549,"Theme: travel classification regression-suite multi-hop en-us; 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: 9549-497670.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9550,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9550-277073.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9551,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 9551-221542.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9552,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9552-424735.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9553,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9553-778943.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9554,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9554-975784.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9555,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9555-987346.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9556,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 9556-115139.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9557,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9557-112702.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9558,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9558-280245.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9559,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9559-992671.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9560,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9560-637543.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9561,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9561-783124.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9562,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9562-657968.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9563,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9563-274025.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9564,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9564-634575.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9565,"Theme: travel classification regression-suite multi-hop en-us; 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: 9565-442173.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9566,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9566-835208.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9567,"Theme: travel classification regression-suite multi-hop en-us; 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: 9567-655128.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9568,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9568-866481.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9569,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 9569-335904.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9570,"Theme: travel classification regression-suite multi-hop en-us; 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: 9570-917763.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9571,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9571-170135.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9572,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9572-222051.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9573,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9573-970180.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9574,"Theme: travel classification regression-suite multi-hop en-us; 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: 9574-234500.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9575,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9575-368055.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9576,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9576-405158.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9577,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9577-865777.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9578,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9578-661814.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9579,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9579-457551.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9580,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9580-714381.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9581,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9581-325717.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9582,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9582-579765.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9583,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9583-376414.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9584,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9584-246716.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9585,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9585-988185.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9586,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9586-362267.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9587,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9587-902543.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9588,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 9588-658289.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9589,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9589-278573.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9590,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 9590-941761.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9591,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9591-298404.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9592,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9592-935131.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9593,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9593-498815.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9594,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9594-775289.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9595,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9595-931124.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9596,"Theme: travel classification regression-suite multi-hop en-us; 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: 9596-723095.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9597,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 9597-696855.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9598,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9598-665919.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9599,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9599-865822.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9600,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9600-775348.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9601,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9601-899532.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9602,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9602-687436.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9603,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9603-331840.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9604,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9604-603673.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9605,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9605-122385.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9606,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9606-399360.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9607,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9607-685210.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9608,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 9608-409257.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9609,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9609-384648.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9610,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9610-884119.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9611,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9611-383537.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9612,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9612-764362.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9613,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9613-694229.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9614,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9614-964783.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9615,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9615-362654.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9616,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9616-221412.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9617,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9617-237219.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9618,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9618-759413.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9619,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9619-676906.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9620,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9620-786148.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9621,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9621-413190.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9622,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9622-412724.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9623,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9623-919166.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9624,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9624-678581.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9625,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9625-739754.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9626,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9626-456608.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9627,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 9627-453816.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9628,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9628-176850.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9629,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9629-613065.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9630,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9630-251891.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9631,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9631-996125.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9632,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9632-203636.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9633,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9633-603063.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9634,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9634-607874.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9635,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 9635-386569.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9636,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9636-697173.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9637,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 9637-355883.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9638,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9638-543362.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9639,"Theme: travel classification regression-suite multi-hop en-us; 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: 9639-831416.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9640,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9640-460090.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9641,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9641-655831.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9642,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9642-742163.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9643,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9643-647851.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9644,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9644-495674.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9645,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9645-428085.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9646,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 9646-670343.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9647,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9647-203636.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9648,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9648-222087.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9649,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9649-807823.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9650,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 9650-347938.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9651,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9651-113741.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9652,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9652-165272.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9653,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9653-198890.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9654,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 9654-973166.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9655,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9655-143570.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9656,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9656-998803.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9657,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9657-441072.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9658,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9658-643175.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9659,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 9659-294687.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9660,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9660-139875.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9661,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9661-547796.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9662,"Theme: travel classification regression-suite multi-hop en-us; 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: 9662-262668.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9663,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9663-140020.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9664,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9664-403551.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9665,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9665-502127.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9666,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9666-553621.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9667,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9667-938232.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9668,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9668-366229.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9669,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9669-778253.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9670,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9670-123625.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9671,"Theme: travel classification regression-suite multi-hop en-us; 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: 9671-954345.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9672,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9672-790686.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9673,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9673-312966.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9674,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 9674-112235.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9675,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9675-868155.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9676,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9676-210155.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9677,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9677-283798.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9678,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 9678-561587.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9679,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9679-362667.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9680,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9680-408922.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9681,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9681-194676.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9682,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9682-683255.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9683,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9683-697810.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9684,"Theme: travel classification regression-suite multi-hop en-us; 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: 9684-358031.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9685,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9685-391316.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9686,"Theme: travel classification regression-suite multi-hop en-us; 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: 9686-999810.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9687,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9687-731248.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9688,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9688-213397.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9689,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9689-619611.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9690,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9690-107981.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9691,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9691-494931.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9692,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9692-115800.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9693,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9693-578002.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9694,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 9694-686081.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9695,"Theme: travel classification regression-suite multi-hop en-us; 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: 9695-704360.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9696,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9696-362875.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9697,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9697-359917.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9698,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9698-688391.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9699,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9699-555195.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9700,"Theme: travel classification regression-suite multi-hop en-us; 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: 9700-373946.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9701,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9701-822956.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9702,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9702-588666.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9703,"Theme: travel classification regression-suite multi-hop en-us; 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: 9703-458482.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9704,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9704-821667.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9705,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 9705-642186.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9706,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 9706-454232.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9707,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9707-717704.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9708,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9708-173127.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9709,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9709-778052.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9710,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9710-921936.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9711,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9711-449123.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9712,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9712-997685.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9713,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9713-700335.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9714,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9714-736893.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9715,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9715-950658.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9716,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9716-996654.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9717,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 9717-254973.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9718,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9718-185190.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9719,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9719-767005.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9720,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9720-495444.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9721,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9721-210492.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9722,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9722-679466.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9723,"Theme: travel classification regression-suite multi-hop en-us; 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: 9723-288886.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9724,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9724-869964.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9725,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9725-804018.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9726,"Theme: travel classification regression-suite multi-hop en-us; 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: 9726-449558.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9727,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9727-131966.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9728,"Theme: travel classification regression-suite multi-hop en-us; 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: 9728-317855.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9729,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9729-869759.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9730,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9730-620933.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9731,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9731-141700.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9732,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9732-613925.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9733,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9733-445202.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9734,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9734-436675.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9735,"Theme: travel classification regression-suite multi-hop en-us; 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: 9735-730606.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9736,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9736-990244.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9737,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 9737-650297.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9738,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9738-455054.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9739,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9739-817961.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9740,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9740-619520.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9741,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9741-570174.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9742,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9742-856147.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9743,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9743-557849.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9744,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9744-236866.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9745,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9745-500563.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9746,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9746-681918.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9747,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9747-124831.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9748,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9748-966739.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9749,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9749-781730.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9750,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9750-631272.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9751,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9751-103586.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9752,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9752-854520.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9753,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9753-876258.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9754,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9754-576730.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9755,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9755-570950.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9756,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 9756-779367.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9757,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 9757-292692.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9758,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9758-450291.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9759,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9759-723565.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9760,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9760-450292.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9761,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9761-379010.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9762,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9762-795466.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9763,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 9763-272774.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9764,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9764-987862.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9765,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9765-872438.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9766,"Theme: travel classification regression-suite multi-hop en-us; 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: 9766-119676.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9767,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 9767-962918.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9768,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9768-936222.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9769,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9769-742798.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9770,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 9770-386573.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9771,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9771-495639.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9772,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9772-139310.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9773,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; 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: 9773-325128.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9774,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9774-631839.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9775,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9775-510210.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9776,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9776-932684.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9777,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9777-412459.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9778,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9778-304689.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9779,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9779-247438.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9780,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9780-222156.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9781,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9781-956275.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9782,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9782-858988.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9783,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9783-401028.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9784,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 9784-516428.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9785,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9785-355612.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9786,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 9786-555698.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9787,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9787-371146.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9788,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9788-858984.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9789,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 9789-748320.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9790,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9790-209063.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9791,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9791-980028.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9792,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 9792-138351.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9793,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9793-447200.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9794,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9794-146899.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9795,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9795-383278.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9796,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9796-713077.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9797,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9797-952480.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9798,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9798-274589.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9799,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9799-739548.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9800,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9800-375243.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9801,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9801-185446.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9802,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9802-562185.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9803,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9803-486990.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9804,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9804-978149.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9805,"Theme: travel classification regression-suite multi-hop en-us; 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: 9805-216133.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9806,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9806-169920.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9807,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9807-513195.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9808,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9808-733133.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9809,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9809-198434.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9810,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9810-139951.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9811,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9811-191111.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9812,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9812-568130.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9813,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9813-595905.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9814,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9814-122500.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9815,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9815-224382.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9816,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9816-524195.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9817,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 9817-169670.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9818,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9818-827716.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9819,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9819-993195.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9820,"Theme: travel classification regression-suite multi-hop en-us; 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: 9820-632252.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9821,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9821-937879.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9822,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9822-364317.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9823,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9823-389759.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9824,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9824-474715.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9825,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9825-963588.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9826,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9826-147619.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9827,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9827-744132.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9828,"Theme: travel classification regression-suite multi-hop en-us; 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: 9828-915641.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9829,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9829-781364.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9830,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9830-115269.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9831,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9831-242841.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9832,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9832-253125.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9833,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9833-147108.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9834,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9834-204145.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9835,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9835-366850.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9836,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9836-748010.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9837,"Theme: travel classification regression-suite multi-hop en-us; 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: 9837-237432.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9838,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9838-939611.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9839,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9839-319620.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9840,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9840-409582.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9841,"Theme: travel classification regression-suite multi-hop en-us; 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: 9841-839660.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9842,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9842-137711.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9843,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9843-290653.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9844,"Theme: travel classification regression-suite multi-hop en-us; 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: 9844-470799.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9845,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9845-318061.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9846,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 9846-172384.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9847,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9847-991278.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9848,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9848-807037.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9849,"Theme: travel classification regression-suite multi-hop en-us; 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: 9849-990181.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9850,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9850-722888.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9851,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9851-606125.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9852,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9852-753632.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9853,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9853-407951.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9854,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9854-629904.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9855,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9855-469577.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9856,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9856-379030.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9857,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9857-262697.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9858,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9858-128212.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9859,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9859-204253.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9860,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9860-683321.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9861,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9861-277970.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9862,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9862-398181.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9863,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9863-397238.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9864,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9864-170985.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9865,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9865-855647.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9866,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9866-638909.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9867,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9867-524880.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9868,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9868-512478.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9869,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9869-504025.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9870,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9870-147508.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9871,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9871-244129.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9872,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 9872-700444.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9873,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9873-294000.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9874,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9874-555108.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9875,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9875-105199.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9876,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9876-100924.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9877,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9877-126826.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9878,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 9878-597564.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9879,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9879-529354.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9880,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9880-690907.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9881,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9881-784582.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9882,"Theme: travel classification regression-suite multi-hop en-us; 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: 9882-821598.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9883,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9883-809794.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9884,"Theme: travel classification regression-suite multi-hop en-us; Domain: 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: 9884-510352.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9885,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9885-282427.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9886,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9886-748369.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9887,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9887-579058.",travel classification regression-suite multi-hop en-us,stylized,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9888,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9888-464049.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9889,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9889-939691.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9890,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9890-664630.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9891,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9891-319500.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9892,"Theme: travel classification regression-suite multi-hop en-us; 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: 9892-419074.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9893,"Theme: travel classification regression-suite multi-hop en-us; 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: 9893-907945.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9894,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9894-230995.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9895,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 9895-756751.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9896,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9896-697074.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9897,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9897-431757.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9898,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9898-559578.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9899,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; 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: 9899-831581.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9900,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9900-565234.",travel classification regression-suite multi-hop en-us,detailed,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9901,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9901-178383.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9902,"Theme: travel classification regression-suite multi-hop en-us; 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: 9902-453376.",travel classification regression-suite multi-hop en-us,minimal,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9903,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9903-769028.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9904,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9904-140091.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9905,"Theme: travel classification regression-suite multi-hop en-us; 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: 9905-541070.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9906,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9906-826405.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9907,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 9907-309731.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9908,"Theme: travel classification regression-suite multi-hop en-us; 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: 9908-748117.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9909,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9909-834042.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9910,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; 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: 9910-542871.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9911,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9911-488587.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9912,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9912-223399.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9913,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9913-438154.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9914,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9914-430521.",travel classification regression-suite multi-hop en-us,minimal,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9915,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9915-442617.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9916,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9916-904775.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9917,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9917-390901.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9918,"Theme: travel classification regression-suite multi-hop en-us; 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: 9918-181236.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9919,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9919-444772.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9920,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9920-214339.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9921,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9921-265092.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9922,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; 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: 9922-601739.",travel classification regression-suite multi-hop en-us,minimal,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9923,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9923-620833.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9924,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9924-278622.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9925,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9925-526702.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9926,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9926-141615.",travel classification regression-suite multi-hop en-us,clean,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9927,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9927-605757.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9928,"Theme: travel classification regression-suite multi-hop en-us; 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: 9928-571725.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9929,"Theme: travel classification regression-suite multi-hop en-us; 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: 9929-718130.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9930,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9930-869175.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9931,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9931-148264.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9932,"Theme: travel classification regression-suite multi-hop en-us; 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: 9932-125848.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9933,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9933-397141.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9934,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9934-651555.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9935,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9935-323006.",travel classification regression-suite multi-hop en-us,cinematic,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9936,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9936-780148.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9937,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9937-463709.",travel classification regression-suite multi-hop en-us,minimal,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9938,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9938-754807.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9939,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-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: 9939-655163.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9940,"Theme: travel classification regression-suite multi-hop en-us; 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: 9940-267836.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9941,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9941-197937.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9942,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9942-404071.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9943,"Theme: travel classification regression-suite multi-hop en-us; 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: 9943-730887.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9944,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9944-205578.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9945,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9945-101778.",travel classification regression-suite multi-hop en-us,production-ready,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9946,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9946-538808.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9947,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9947-548852.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9948,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9948-767632.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9949,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9949-350331.",travel classification regression-suite multi-hop en-us,stylized,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9950,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9950-131380.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9951,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9951-376806.",travel classification regression-suite multi-hop en-us,stylized,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9952,"Theme: travel classification regression-suite multi-hop en-us; 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: 9952-341975.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9953,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9953-568821.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9954,"Theme: travel classification regression-suite multi-hop en-us; 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: 9954-435354.",travel classification regression-suite multi-hop en-us,detailed,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9955,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9955-352193.",travel classification regression-suite multi-hop en-us,cinematic,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9956,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9956-637377.",travel classification regression-suite multi-hop en-us,minimal,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9957,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9957-739446.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9958,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9958-709452.",travel classification regression-suite multi-hop en-us,detailed,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9959,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9959-896304.",travel classification regression-suite multi-hop en-us,cinematic,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9960,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9960-961029.",travel classification regression-suite multi-hop en-us,stylized,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9961,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9961-358751.",travel classification regression-suite multi-hop en-us,production-ready,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9962,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9962-586026.",travel classification regression-suite multi-hop en-us,clean,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9963,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9963-804902.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9964,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9964-729278.",travel classification regression-suite multi-hop en-us,production-ready,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9965,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9965-216489.",travel classification regression-suite multi-hop en-us,cinematic,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9966,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9966-743318.",travel classification regression-suite multi-hop en-us,stylized,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9967,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9967-582701.",travel classification regression-suite multi-hop en-us,clean,consistent,2026-02-23T00:50:24.805569Z,1.0000,ok
+9968,"Theme: travel classification regression-suite multi-hop en-us; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9968-928723.",travel classification regression-suite multi-hop en-us,clean,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9969,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9969-207473.",travel classification regression-suite multi-hop en-us,cinematic,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9970,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9970-737617.",travel classification regression-suite multi-hop en-us,production-ready,benchmark-grade,2026-02-23T00:50:24.805569Z,1.0000,ok
+9971,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9971-807281.",travel classification regression-suite multi-hop en-us,detailed,premium,2026-02-23T00:50:24.805569Z,1.0000,ok
+9972,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9972-635597.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9973,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9973-395230.",travel classification regression-suite multi-hop en-us,clean,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
+9974,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9974-157383.",travel classification regression-suite multi-hop en-us,detailed,commercial,2026-02-23T00:50:24.805569Z,1.0000,ok
+9975,"Theme: travel classification regression-suite multi-hop en-us; Domain: classification-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9975-627122.",travel classification regression-suite multi-hop en-us,production-ready,high-precision,2026-02-23T00:50:24.805569Z,1.0000,ok
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