diff --git a/offers/cybersecurity-rag-evaluation-benchmark-20260223_055539/cybersecurity-rag-evaluation-benchmark-en-us-77001-20260223055523_enriched.csv b/offers/cybersecurity-rag-evaluation-benchmark-20260223_055539/cybersecurity-rag-evaluation-benchmark-en-us-77001-20260223055523_enriched.csv
new file mode 100644
index 0000000000000000000000000000000000000000..de77e9ab806231c7c5fd32bb333814f93d924196
--- /dev/null
+++ b/offers/cybersecurity-rag-evaluation-benchmark-20260223_055539/cybersecurity-rag-evaluation-benchmark-en-us-77001-20260223055523_enriched.csv
@@ -0,0 +1,10001 @@
+id,prompt,theme,style,quality_hint,created_at,quality_row_score,quality_row_flags
+1,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1-285487.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2-814091.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3-143233.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4-862252.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5-387964.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6-206969.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7-938887.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8-134114.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9-577917.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+10,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 10-616290.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+11,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 11-346412.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+12,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 12-271445.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+13,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 13-625802.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+14,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 14-491495.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+15,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 15-162941.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+16,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 16-248339.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+17,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 17-510678.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+18,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 18-824152.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+19,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 19-330686.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+20,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 20-324084.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+21,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 21-183852.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+22,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 22-484465.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+23,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 23-435517.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+24,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 24-238062.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+25,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 25-934300.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+26,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 26-427414.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+27,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 27-435830.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+28,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 28-829961.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+29,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 29-204352.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+30,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 30-652625.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+31,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 31-296102.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+32,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 32-995897.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+33,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 33-920342.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+34,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 34-954246.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+35,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 35-968703.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+36,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 36-684188.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+37,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 37-712287.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+38,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 38-246570.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+39,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 39-994289.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+40,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 40-668765.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+41,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 41-472914.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+42,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 42-606032.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+43,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 43-157875.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+44,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 44-925444.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+45,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 45-212881.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+46,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 46-449910.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+47,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 47-739311.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+48,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 48-707689.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+49,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 49-701673.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+50,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 50-801985.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+51,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 51-915969.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+52,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 52-494319.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+53,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 53-140370.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+54,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 54-275909.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+55,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 55-101681.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+56,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 56-199904.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+57,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 57-717444.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+58,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 58-119825.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+59,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 59-423806.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+60,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 60-449753.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+61,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 61-122648.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+62,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 62-459076.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+63,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 63-611802.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+64,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 64-937761.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+65,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 65-332983.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+66,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 66-781249.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+67,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 67-363955.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+68,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 68-999750.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+69,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 69-995608.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+70,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 70-907611.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+71,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 71-257614.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+72,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 72-753867.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+73,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 73-870138.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+74,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 74-195107.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+75,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 75-794313.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+76,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 76-694966.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+77,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 77-859731.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+78,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 78-361360.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+79,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 79-476024.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+80,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 80-788759.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+81,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 81-763115.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+82,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 82-372234.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+83,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 83-825864.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+84,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 84-547240.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+85,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 85-680722.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+86,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 86-650438.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+87,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 87-407239.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+88,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 88-397810.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+89,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 89-245139.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+90,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 90-362882.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+91,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 91-359685.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+92,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 92-317380.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+93,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 93-933991.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+94,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 94-504885.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+95,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 95-638274.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+96,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 96-351212.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+97,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 97-769708.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+98,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 98-485129.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+99,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 99-953000.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+100,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 100-669342.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+101,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 101-122171.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+102,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 102-593589.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+103,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 103-660427.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+104,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 104-544968.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+105,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 105-370201.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+106,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 106-212735.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+107,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 107-342384.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+108,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 108-935666.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+109,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 109-718867.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+110,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 110-148853.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+111,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 111-656176.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+112,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 112-735398.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+113,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 113-110610.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+114,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 114-598410.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+115,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 115-138305.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+116,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 116-160202.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+117,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 117-190879.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+118,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 118-548766.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+119,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 119-560853.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+120,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 120-381657.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+121,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 121-728820.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+122,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 122-644342.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+123,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 123-827873.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+124,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 124-389879.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+125,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 125-607346.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+126,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 126-612498.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+127,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 127-119690.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+128,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 128-523980.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+129,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 129-899545.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+130,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 130-536095.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+131,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 131-831424.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+132,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 132-386699.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+133,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 133-365178.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+134,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 134-579219.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+135,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 135-793446.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+136,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 136-266466.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+137,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 137-498868.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+138,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 138-721913.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+139,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 139-325282.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+140,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 140-174205.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+141,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 141-128469.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+142,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 142-873709.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+143,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 143-870864.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+144,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 144-782875.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+145,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 145-578446.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+146,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 146-125210.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+147,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 147-212301.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+148,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 148-939335.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+149,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 149-567458.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+150,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 150-895149.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+151,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 151-691876.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+152,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 152-382967.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+153,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 153-646714.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+154,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 154-894900.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+155,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 155-527232.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+156,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 156-461950.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+157,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 157-641017.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+158,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 158-607665.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+159,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 159-661524.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+160,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 160-645775.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+161,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 161-206317.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+162,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 162-825084.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+163,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 163-846029.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+164,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 164-245872.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+165,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 165-707013.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+166,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 166-948683.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+167,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 167-816208.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+168,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 168-237395.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+169,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 169-310820.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+170,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 170-496397.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+171,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 171-450571.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+172,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 172-305961.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+173,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 173-742456.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+174,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 174-141089.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+175,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 175-575663.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+176,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 176-806990.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+177,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 177-854589.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+178,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 178-904759.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+179,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 179-216732.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+180,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 180-505716.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+181,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 181-715585.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+182,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 182-239523.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+183,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 183-552297.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+184,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 184-710655.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+185,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 185-160658.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+186,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 186-505006.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+187,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 187-370403.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+188,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 188-984761.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+189,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 189-590293.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+190,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 190-652150.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+191,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 191-251099.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+192,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 192-969968.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+193,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 193-495624.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+194,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 194-349871.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+195,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 195-804358.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+196,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 196-305082.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+197,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 197-485847.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+198,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 198-682914.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+199,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 199-464993.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+200,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 200-955326.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+201,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 201-690011.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+202,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 202-489010.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+203,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 203-516653.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+204,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 204-201363.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+205,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 205-565606.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+206,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 206-596504.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+207,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 207-752089.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+208,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 208-170549.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+209,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 209-957677.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+210,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 210-695514.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+211,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 211-376136.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+212,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 212-326091.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+213,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 213-424965.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+214,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 214-186930.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+215,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 215-999917.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+216,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 216-972560.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+217,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 217-304683.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+218,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 218-592604.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+219,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 219-886331.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+220,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 220-920836.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+221,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 221-248640.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+222,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 222-569514.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+223,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 223-255252.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+224,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 224-638828.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+225,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 225-975551.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+226,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 226-584492.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+227,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 227-444184.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+228,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 228-651224.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+229,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 229-629029.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+230,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 230-793924.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+231,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 231-797709.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+232,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 232-647360.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+233,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 233-751040.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+234,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 234-417907.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+235,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 235-779808.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+236,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 236-675292.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+237,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 237-307911.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+238,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 238-926000.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+239,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 239-988323.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+240,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 240-934895.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+241,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 241-655210.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+242,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 242-383773.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+243,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 243-741607.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+244,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 244-266477.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+245,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 245-589141.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+246,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 246-461590.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+247,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 247-443846.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+248,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 248-310241.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+249,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 249-509708.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+250,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 250-837338.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+251,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 251-197435.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+252,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 252-441770.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+253,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 253-735033.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+254,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 254-180137.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+255,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 255-520068.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+256,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 256-337512.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+257,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 257-656077.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+258,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 258-825651.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+259,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 259-236941.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+260,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 260-251618.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+261,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 261-498018.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+262,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 262-540963.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+263,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 263-778715.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+264,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 264-377438.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+265,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 265-775056.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+266,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 266-739333.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+267,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 267-429909.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+268,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 268-771807.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+269,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 269-316833.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+270,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 270-496309.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+271,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 271-410758.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+272,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 272-294427.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+273,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 273-610367.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+274,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 274-388023.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+275,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 275-734131.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+276,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 276-568051.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+277,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 277-579938.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+278,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 278-662305.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+279,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 279-390263.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+280,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 280-281569.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+281,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 281-888455.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+282,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 282-781396.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+283,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 283-377518.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+284,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 284-567146.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+285,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 285-939997.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+286,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 286-922131.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+287,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 287-710697.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+288,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 288-884639.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+289,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 289-776761.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+290,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 290-768275.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+291,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 291-521075.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+292,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 292-803460.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+293,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 293-573703.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+294,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 294-279714.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+295,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 295-267809.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+296,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 296-769412.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+297,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 297-712526.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+298,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 298-102341.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+299,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 299-339684.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+300,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 300-147627.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+301,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 301-255825.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+302,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 302-818891.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+303,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 303-442724.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+304,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 304-977506.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+305,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 305-799149.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+306,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 306-917096.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+307,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 307-522957.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+308,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 308-618936.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+309,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 309-326297.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+310,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 310-827390.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+311,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 311-384276.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+312,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 312-689359.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+313,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 313-182659.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+314,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 314-312527.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+315,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 315-635458.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+316,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 316-407974.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+317,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 317-568660.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+318,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 318-692161.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+319,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 319-365600.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+320,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 320-840014.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+321,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 321-732342.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+322,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 322-789125.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+323,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 323-702989.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+324,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 324-718353.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+325,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 325-489365.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+326,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 326-652544.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+327,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 327-568259.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+328,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 328-176148.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+329,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 329-986515.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+330,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 330-454923.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+331,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 331-340673.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+332,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 332-576624.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+333,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 333-141524.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+334,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 334-741260.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+335,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 335-705483.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+336,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 336-951747.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+337,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 337-496618.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+338,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 338-668677.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+339,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 339-586563.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+340,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 340-130863.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+341,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 341-156115.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+342,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 342-143009.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+343,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 343-350903.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+344,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 344-555101.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+345,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 345-353799.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+346,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 346-164005.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+347,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 347-398289.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+348,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 348-751901.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+349,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 349-977265.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+350,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 350-758741.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+351,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 351-491183.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+352,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 352-632933.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+353,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 353-343909.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+354,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 354-285316.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+355,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 355-547488.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+356,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 356-660525.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+357,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 357-661270.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+358,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 358-605972.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+359,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 359-790840.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+360,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 360-875534.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+361,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 361-197620.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+362,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 362-214227.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+363,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 363-794073.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+364,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 364-458596.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+365,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 365-679059.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+366,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 366-637019.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+367,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 367-123689.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+368,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 368-647207.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+369,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 369-559081.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+370,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 370-157122.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+371,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 371-618059.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+372,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 372-323197.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+373,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 373-260213.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+374,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 374-681962.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+375,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 375-187446.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+376,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 376-579284.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+377,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 377-836069.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+378,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 378-762598.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+379,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 379-332582.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+380,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 380-220876.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+381,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 381-760924.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+382,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 382-438121.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+383,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 383-737193.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+384,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 384-971732.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+385,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 385-127102.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+386,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 386-245780.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+387,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 387-696428.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+388,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 388-798025.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+389,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 389-297303.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+390,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 390-617228.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+391,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 391-953447.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+392,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 392-590856.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+393,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 393-324543.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+394,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 394-817395.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+395,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 395-311971.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+396,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 396-193864.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+397,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 397-184687.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+398,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 398-669730.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+399,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 399-332295.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+400,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 400-678858.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+401,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 401-513646.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+402,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 402-812799.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+403,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 403-935478.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+404,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 404-471066.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+405,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 405-348126.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+406,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 406-482385.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+407,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 407-599653.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+408,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 408-155549.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+409,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 409-599884.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+410,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 410-825507.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+411,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 411-254834.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+412,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 412-462787.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+413,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 413-144841.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+414,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 414-851081.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+415,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 415-904624.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+416,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 416-701500.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+417,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 417-605477.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+418,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 418-195415.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+419,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 419-102854.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+420,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 420-415410.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+421,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 421-636383.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+422,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 422-922464.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+423,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 423-298791.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+424,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 424-294245.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+425,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 425-116875.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+426,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 426-777145.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+427,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 427-117080.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+428,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 428-305296.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+429,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 429-659877.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+430,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 430-378520.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+431,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 431-759969.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+432,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 432-880196.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+433,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 433-394985.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+434,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 434-252592.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+435,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 435-304233.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+436,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 436-734108.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+437,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 437-840151.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+438,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 438-633531.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+439,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 439-507122.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+440,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 440-350231.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+441,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 441-239673.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+442,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 442-507419.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+443,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 443-627666.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+444,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 444-897134.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+445,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 445-716523.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+446,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 446-782783.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+447,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 447-867557.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+448,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 448-598077.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+449,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 449-269142.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+450,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 450-379948.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+451,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 451-760564.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+452,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 452-675701.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+453,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 453-817857.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+454,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 454-474576.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+455,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 455-929181.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+456,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 456-694802.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+457,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 457-935541.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+458,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 458-910681.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+459,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 459-547116.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+460,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 460-417502.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+461,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 461-984773.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+462,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 462-771591.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+463,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 463-591818.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+464,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 464-823255.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+465,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 465-540511.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+466,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 466-330416.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+467,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 467-811575.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+468,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 468-753079.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+469,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 469-303269.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+470,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 470-714802.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+471,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 471-885224.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+472,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 472-915048.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+473,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 473-785304.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+474,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 474-956169.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+475,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 475-395151.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+476,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 476-272302.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+477,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 477-196182.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+478,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 478-193503.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+479,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 479-634611.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+480,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 480-570969.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+481,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 481-536463.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+482,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 482-996270.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+483,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 483-877820.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+484,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 484-947023.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+485,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 485-657240.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+486,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 486-201846.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+487,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 487-504763.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+488,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 488-673434.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+489,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 489-576705.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+490,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 490-205794.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+491,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 491-415870.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+492,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 492-904113.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+493,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 493-996520.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+494,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 494-662531.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+495,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 495-733522.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+496,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 496-180374.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+497,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 497-972111.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+498,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 498-496039.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+499,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 499-626858.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+500,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 500-422018.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+501,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 501-391941.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+502,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 502-105872.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+503,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 503-754141.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+504,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 504-775882.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+505,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 505-732392.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+506,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 506-731248.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+507,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 507-653650.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+508,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 508-264938.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+509,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 509-926697.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+510,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 510-333883.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+511,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 511-995267.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+512,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 512-110685.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+513,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 513-525305.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+514,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 514-817694.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+515,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 515-991608.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+516,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 516-968767.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+517,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 517-758400.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+518,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 518-703224.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+519,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 519-155908.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+520,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 520-889387.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+521,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 521-413370.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+522,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 522-132585.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+523,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 523-401237.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+524,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 524-270794.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+525,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 525-932440.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+526,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 526-631358.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+527,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 527-614444.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+528,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 528-102777.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+529,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 529-132096.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+530,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 530-259164.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+531,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 531-898699.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+532,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 532-262540.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+533,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 533-812177.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+534,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 534-392790.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+535,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 535-999861.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+536,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 536-685672.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+537,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 537-504535.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+538,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 538-322345.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+539,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 539-677334.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+540,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 540-814099.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+541,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 541-718380.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+542,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 542-948631.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+543,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 543-484642.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+544,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 544-274431.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+545,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 545-506971.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+546,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 546-291055.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+547,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 547-144470.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+548,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 548-484890.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+549,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 549-236405.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+550,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 550-442767.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+551,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 551-137700.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+552,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 552-184033.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+553,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 553-645215.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+554,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 554-555198.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+555,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 555-148137.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+556,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 556-952915.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+557,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 557-509108.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+558,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 558-662860.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+559,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 559-477387.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+560,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 560-825112.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+561,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 561-734306.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+562,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 562-790083.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+563,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 563-392481.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+564,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 564-446605.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+565,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 565-969455.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+566,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 566-452766.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+567,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 567-510094.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+568,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 568-872986.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+569,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 569-233475.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+570,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 570-934728.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+571,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 571-230428.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+572,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 572-263835.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+573,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 573-804131.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+574,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 574-916239.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+575,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 575-615868.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+576,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 576-229359.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+577,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 577-418024.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+578,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 578-209313.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+579,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 579-680907.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+580,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 580-836241.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+581,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 581-601835.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+582,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 582-761851.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+583,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 583-592100.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+584,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 584-355972.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+585,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 585-757624.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+586,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 586-260465.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+587,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 587-155121.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+588,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 588-831267.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+589,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 589-790904.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+590,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 590-442304.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+591,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 591-288947.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+592,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 592-782188.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+593,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 593-501110.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+594,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 594-411785.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+595,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 595-507588.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+596,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 596-389338.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+597,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 597-598550.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+598,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 598-904838.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+599,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 599-453972.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+600,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 600-101542.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+601,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 601-246242.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+602,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 602-251806.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+603,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 603-274206.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+604,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 604-952295.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+605,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 605-842753.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+606,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 606-326345.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+607,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 607-529907.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+608,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 608-621258.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+609,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 609-694873.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+610,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 610-309892.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+611,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 611-504421.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+612,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 612-574219.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+613,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 613-415074.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+614,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 614-981341.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+615,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 615-160804.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+616,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 616-491284.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+617,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 617-987645.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+618,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 618-190862.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+619,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 619-874869.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+620,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 620-596317.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+621,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 621-501899.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+622,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 622-737107.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+623,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 623-524506.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+624,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 624-725200.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+625,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 625-192384.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+626,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 626-796992.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+627,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 627-242131.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+628,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 628-969285.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+629,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 629-819896.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+630,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 630-433778.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+631,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 631-747403.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+632,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 632-685576.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+633,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 633-246315.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+634,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 634-758918.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+635,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 635-996482.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+636,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 636-973531.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+637,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 637-805274.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+638,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 638-423547.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+639,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 639-294061.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+640,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 640-295288.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+641,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 641-801040.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+642,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 642-142457.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+643,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 643-468618.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+644,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 644-472001.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+645,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 645-540190.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+646,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 646-917227.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+647,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 647-798755.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+648,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 648-828970.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+649,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 649-155476.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+650,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 650-673179.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+651,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 651-280478.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+652,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 652-131596.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+653,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 653-194399.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+654,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 654-844767.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+655,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 655-969861.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+656,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 656-417850.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+657,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 657-633816.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+658,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 658-897044.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+659,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 659-265657.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+660,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 660-743677.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+661,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 661-210912.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+662,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 662-178514.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+663,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 663-317982.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+664,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 664-692236.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+665,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 665-213817.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+666,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 666-207314.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+667,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 667-595625.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+668,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 668-590528.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+669,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 669-983789.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+670,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 670-261960.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+671,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 671-486329.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+672,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 672-999489.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+673,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 673-153704.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+674,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 674-118144.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+675,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 675-390887.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+676,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 676-491295.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+677,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 677-510313.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+678,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 678-633995.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+679,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 679-497688.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+680,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 680-568064.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+681,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 681-776110.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+682,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 682-804023.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+683,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 683-539714.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+684,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 684-882016.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+685,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 685-812286.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+686,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 686-914608.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+687,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 687-711272.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+688,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 688-844871.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+689,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 689-983483.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+690,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 690-503793.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+691,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 691-299847.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+692,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 692-110932.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+693,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 693-534074.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+694,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 694-444710.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+695,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 695-871197.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+696,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 696-965924.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+697,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 697-188783.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+698,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 698-986202.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+699,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 699-546044.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+700,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 700-271722.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+701,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 701-176955.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+702,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 702-159024.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+703,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 703-971887.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+704,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 704-608527.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+705,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 705-891196.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+706,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 706-521951.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+707,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 707-114957.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+708,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 708-465191.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+709,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 709-134963.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+710,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 710-300112.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+711,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 711-526752.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+712,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 712-467031.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+713,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 713-588006.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+714,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 714-978315.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+715,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 715-786592.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+716,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 716-815507.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+717,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 717-229932.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+718,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 718-931991.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+719,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 719-635478.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+720,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 720-936457.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+721,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 721-804991.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+722,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 722-263128.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+723,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 723-293874.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+724,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 724-433433.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+725,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 725-826333.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+726,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 726-760841.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+727,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 727-985212.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+728,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 728-935956.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+729,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 729-533266.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+730,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 730-395535.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+731,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 731-173943.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+732,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 732-383757.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+733,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 733-278028.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+734,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 734-157622.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+735,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 735-589681.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+736,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 736-919691.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+737,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 737-134285.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+738,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 738-777159.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+739,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 739-567343.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+740,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 740-597990.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+741,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 741-601769.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+742,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 742-394689.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+743,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 743-788340.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+744,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 744-548258.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+745,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 745-842943.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+746,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 746-898735.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+747,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 747-593842.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+748,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 748-775804.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+749,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 749-408280.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+750,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 750-589026.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+751,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 751-378721.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+752,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 752-583782.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+753,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 753-751552.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+754,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 754-427659.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+755,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 755-784944.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+756,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 756-581672.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+757,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 757-356754.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+758,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 758-616079.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+759,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 759-969024.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+760,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 760-115574.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+761,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 761-297878.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+762,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 762-855472.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+763,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 763-392318.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+764,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 764-317988.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+765,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 765-908820.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+766,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 766-419256.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+767,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 767-122741.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+768,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 768-226570.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+769,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 769-718611.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+770,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 770-556665.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+771,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 771-945245.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+772,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 772-626897.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+773,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 773-164919.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+774,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 774-247150.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+775,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 775-426497.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+776,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 776-803617.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+777,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 777-867698.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+778,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 778-951666.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+779,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 779-199591.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+780,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 780-473993.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+781,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 781-781344.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+782,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 782-174808.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+783,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 783-745293.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+784,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 784-732194.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+785,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 785-561403.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+786,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 786-678170.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+787,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 787-122785.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+788,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 788-682910.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+789,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 789-525328.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+790,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 790-940421.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+791,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 791-937346.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+792,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 792-249250.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+793,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 793-821417.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+794,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 794-679243.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+795,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 795-306104.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+796,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 796-248723.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+797,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 797-589552.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+798,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 798-649694.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+799,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 799-725419.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+800,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 800-149307.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+801,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 801-320161.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+802,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 802-547644.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+803,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 803-545716.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+804,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 804-644005.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+805,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 805-664225.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+806,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 806-298105.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+807,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 807-559386.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+808,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 808-169810.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+809,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 809-144525.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+810,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 810-285985.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+811,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 811-827905.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+812,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 812-984477.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+813,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 813-205567.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+814,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 814-417520.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+815,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 815-867073.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+816,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 816-925927.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+817,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 817-381623.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+818,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 818-754277.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+819,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 819-708587.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+820,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 820-769901.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+821,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 821-357030.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+822,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 822-786172.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+823,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 823-538244.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+824,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 824-119204.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+825,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 825-486680.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+826,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 826-265507.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+827,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 827-326499.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+828,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 828-909625.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+829,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 829-982179.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+830,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 830-480956.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+831,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 831-572666.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+832,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 832-401961.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+833,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 833-544368.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+834,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 834-127084.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+835,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 835-951109.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+836,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 836-167162.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+837,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 837-150393.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+838,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 838-856521.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+839,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 839-130616.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+840,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 840-937895.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+841,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 841-505416.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+842,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 842-610479.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+843,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 843-682991.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+844,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 844-641958.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+845,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 845-379344.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+846,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 846-143713.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+847,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 847-735668.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+848,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 848-996703.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+849,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 849-839436.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+850,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 850-351358.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+851,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 851-895384.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+852,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 852-286361.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+853,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 853-537852.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+854,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 854-259594.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+855,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 855-528241.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+856,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 856-563166.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+857,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 857-983172.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+858,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 858-723340.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+859,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 859-843701.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+860,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 860-487361.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+861,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 861-960253.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+862,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 862-706216.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+863,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 863-637373.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+864,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 864-159727.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+865,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 865-373471.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+866,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 866-334217.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+867,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 867-353008.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+868,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 868-641365.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+869,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 869-651561.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+870,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 870-449238.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+871,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 871-434009.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+872,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 872-594332.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+873,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 873-809625.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+874,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 874-385590.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+875,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 875-874536.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+876,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 876-771107.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+877,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 877-740755.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+878,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 878-524955.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+879,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 879-880490.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+880,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 880-451396.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+881,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 881-606673.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+882,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 882-762572.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+883,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 883-150761.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+884,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 884-146328.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+885,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 885-315847.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+886,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 886-822035.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+887,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 887-236530.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+888,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 888-872799.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+889,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 889-260032.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+890,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 890-102748.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+891,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 891-621741.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+892,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 892-591037.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+893,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 893-914197.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+894,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 894-431433.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+895,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 895-775171.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+896,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 896-870740.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+897,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 897-518744.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+898,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 898-259969.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+899,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 899-304805.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+900,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 900-141256.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+901,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 901-751963.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+902,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 902-456329.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+903,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 903-243641.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+904,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 904-665379.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+905,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 905-274313.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+906,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 906-600087.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+907,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 907-157780.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+908,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 908-353454.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+909,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 909-880752.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+910,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 910-968860.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+911,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 911-711796.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+912,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 912-113633.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+913,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 913-788715.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+914,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 914-315526.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+915,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 915-869303.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+916,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 916-365998.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+917,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 917-308972.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+918,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 918-910860.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+919,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 919-408749.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+920,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 920-673658.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+921,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 921-590909.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+922,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 922-638621.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+923,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 923-998547.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+924,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 924-559566.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+925,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 925-683911.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+926,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 926-715278.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+927,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 927-693819.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+928,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 928-639078.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+929,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 929-452017.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+930,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 930-583604.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+931,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 931-148536.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+932,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 932-966162.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+933,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 933-855865.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+934,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 934-683392.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+935,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 935-904862.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+936,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 936-601013.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+937,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 937-177802.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+938,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 938-836435.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+939,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 939-894091.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+940,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 940-604115.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+941,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 941-175802.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+942,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 942-600069.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+943,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 943-343037.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+944,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 944-371435.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+945,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 945-930821.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+946,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 946-260220.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+947,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 947-536505.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+948,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 948-370507.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+949,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 949-249559.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+950,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 950-469405.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+951,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 951-829155.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+952,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 952-141404.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+953,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 953-511115.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+954,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 954-596469.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+955,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 955-271423.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+956,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 956-519033.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+957,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 957-720060.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+958,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 958-271841.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+959,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 959-671938.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+960,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 960-674577.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+961,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 961-113327.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+962,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 962-230270.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+963,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 963-427094.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+964,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 964-343936.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+965,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 965-399034.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+966,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 966-492100.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+967,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 967-782518.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+968,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 968-747195.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+969,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 969-400569.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+970,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 970-545314.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+971,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 971-182706.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+972,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 972-908803.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+973,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 973-540632.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+974,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 974-257662.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+975,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 975-229378.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+976,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 976-746107.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+977,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 977-561533.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+978,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 978-901983.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+979,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 979-184366.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+980,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 980-856632.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+981,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 981-990229.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+982,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 982-479916.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+983,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 983-367138.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+984,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 984-794229.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+985,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 985-501332.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+986,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 986-755260.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+987,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 987-250176.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+988,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 988-596801.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+989,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 989-638595.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+990,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 990-358317.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+991,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 991-786012.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+992,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 992-594694.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+993,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 993-575853.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+994,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 994-282441.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+995,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 995-212433.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+996,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 996-456823.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+997,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 997-827908.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+998,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 998-480814.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+999,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 999-154306.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1000,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1000-800365.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1001,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1001-419853.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1002,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1002-569241.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1003,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1003-878218.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1004,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1004-338318.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1005,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1005-872551.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1006,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1006-777326.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1007,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1007-200673.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1008,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1008-163630.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1009,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1009-256137.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1010,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1010-489370.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1011,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1011-541747.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1012,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1012-842054.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1013,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 1013-941170.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1014,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1014-693956.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1015,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1015-619207.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1016,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1016-192404.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1017,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1017-185145.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1018,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1018-117818.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1019,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1019-536332.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1020,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1020-937156.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1021,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1021-875245.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1022,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 1022-383910.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1023,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1023-456400.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1024,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1024-214884.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1025,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1025-701597.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1026,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1026-106012.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1027,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1027-221793.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1028,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1028-462135.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1029,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1029-227785.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1030,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1030-841268.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1031,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1031-989272.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1032,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1032-762991.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1033,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1033-353963.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1034,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1034-108755.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1035,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1035-164534.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1036,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1036-618610.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1037,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1037-397870.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1038,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1038-682408.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1039,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1039-892246.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1040,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1040-720808.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1041,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1041-149427.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1042,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1042-807632.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1043,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1043-416035.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1044,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1044-183875.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1045,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1045-609295.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1046,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1046-758285.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1047,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1047-406512.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1048,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1048-504348.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1049,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1049-293303.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1050,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1050-681550.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1051,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1051-341279.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1052,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 1052-839365.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1053,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1053-399566.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1054,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1054-387975.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1055,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1055-260807.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1056,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1056-797384.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1057,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1057-949247.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1058,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 1058-210587.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1059,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1059-886525.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1060,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1060-452767.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1061,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1061-811420.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1062,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1062-508062.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1063,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1063-273056.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1064,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1064-452849.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1065,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1065-192704.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1066,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1066-576751.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1067,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1067-907490.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1068,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1068-856683.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1069,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1069-489549.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1070,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1070-754061.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1071,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1071-254493.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1072,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1072-115405.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1073,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1073-145263.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1074,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1074-646981.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1075,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1075-702107.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1076,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1076-379099.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1077,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1077-163863.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1078,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1078-979871.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1079,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1079-699535.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1080,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1080-318834.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1081,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1081-952755.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1082,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1082-790072.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1083,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1083-591909.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1084,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1084-267167.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1085,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1085-974243.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1086,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1086-845331.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1087,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1087-484094.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1088,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1088-615117.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1089,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1089-492325.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1090,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1090-580735.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1091,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1091-689172.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1092,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1092-241324.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1093,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1093-588812.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1094,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1094-585116.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1095,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1095-116849.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1096,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1096-376759.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1097,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1097-152436.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1098,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1098-641747.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1099,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1099-963306.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1100,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1100-354827.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1101,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1101-980748.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1102,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 1102-794470.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1103,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1103-544631.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1104,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1104-156737.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1105,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1105-582639.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1106,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1106-697033.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1107,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1107-755083.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1108,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1108-408341.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1109,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1109-858157.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1110,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 1110-468904.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1111,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1111-401723.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1112,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1112-890846.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1113,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1113-246944.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1114,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1114-126072.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1115,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 1115-137625.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1116,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1116-431668.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1117,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1117-885359.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1118,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1118-353514.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1119,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1119-106293.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1120,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1120-387128.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1121,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1121-296605.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1122,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1122-591202.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1123,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1123-744272.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1124,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1124-809712.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1125,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1125-473017.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1126,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1126-706779.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1127,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1127-269624.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1128,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1128-573638.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1129,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1129-745064.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1130,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1130-763122.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1131,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1131-256971.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1132,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1132-940482.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1133,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1133-505751.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1134,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1134-672975.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1135,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1135-787759.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1136,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1136-549293.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1137,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1137-878410.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1138,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1138-260961.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1139,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1139-512115.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1140,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1140-466532.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1141,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1141-256656.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1142,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1142-666301.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1143,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1143-845272.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1144,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1144-252926.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1145,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1145-526995.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1146,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1146-224427.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1147,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1147-349318.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1148,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1148-493080.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1149,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1149-717550.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1150,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1150-117307.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1151,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1151-177717.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1152,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1152-554789.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1153,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1153-240607.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1154,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1154-254340.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1155,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1155-164773.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1156,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1156-704741.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1157,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1157-761260.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1158,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1158-502491.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1159,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1159-461889.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1160,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1160-989048.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1161,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1161-579009.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1162,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1162-380631.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1163,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1163-230587.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1164,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1164-647566.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1165,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1165-383353.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1166,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1166-314135.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1167,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1167-967894.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1168,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1168-984631.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1169,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1169-931811.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1170,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 1170-976978.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1171,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1171-450516.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1172,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1172-158190.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1173,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1173-866137.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1174,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1174-286761.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1175,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1175-186720.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1176,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1176-736862.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1177,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1177-666585.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1178,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1178-604273.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1179,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1179-127277.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1180,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1180-415280.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1181,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1181-385848.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1182,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1182-502655.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1183,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1183-589620.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1184,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1184-802916.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1185,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1185-925779.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1186,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1186-104242.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1187,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1187-922686.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1188,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1188-107666.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1189,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1189-432201.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1190,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1190-353759.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1191,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1191-333328.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1192,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1192-456918.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1193,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1193-352656.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1194,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1194-176845.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1195,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1195-201147.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1196,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1196-362258.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1197,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1197-552991.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1198,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1198-341369.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1199,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1199-223141.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1200,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1200-832654.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1201,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1201-511638.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1202,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 1202-498400.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1203,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1203-264714.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1204,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1204-840336.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1205,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1205-582782.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1206,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1206-155046.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1207,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1207-707955.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1208,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1208-937135.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1209,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1209-100636.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1210,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1210-774219.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1211,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1211-292919.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1212,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1212-538549.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1213,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1213-624327.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1214,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1214-900805.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1215,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1215-594629.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1216,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1216-800256.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1217,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1217-876042.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1218,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1218-516084.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1219,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 1219-747491.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1220,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1220-384688.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1221,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1221-666772.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1222,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1222-694462.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1223,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1223-423134.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1224,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1224-202012.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1225,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1225-235851.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1226,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1226-987516.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1227,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1227-486395.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1228,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1228-714694.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1229,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1229-368426.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1230,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1230-803701.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1231,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1231-858247.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1232,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1232-843637.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1233,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1233-635773.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1234,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1234-745788.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1235,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1235-904512.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1236,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1236-103064.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1237,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1237-349845.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1238,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1238-390932.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1239,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1239-301691.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1240,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1240-459168.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1241,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1241-604538.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1242,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1242-167285.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1243,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1243-923968.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1244,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1244-267379.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1245,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1245-694025.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1246,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1246-667885.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1247,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1247-320333.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1248,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1248-166240.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1249,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1249-170993.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1250,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1250-263747.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1251,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1251-574336.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1252,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 1252-953682.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1253,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1253-931856.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1254,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1254-608833.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1255,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1255-407651.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1256,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1256-986533.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1257,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1257-575550.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1258,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1258-891955.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1259,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1259-138751.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1260,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1260-512302.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1261,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1261-182021.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1262,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1262-846171.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1263,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1263-930561.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1264,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1264-519725.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1265,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1265-685504.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1266,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1266-556967.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1267,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1267-239356.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1268,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1268-717670.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1269,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1269-888867.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1270,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1270-734650.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1271,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1271-125298.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1272,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1272-698389.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1273,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1273-839427.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1274,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1274-264503.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1275,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1275-372685.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1276,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1276-145669.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1277,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1277-566509.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1278,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1278-258678.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1279,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1279-554163.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1280,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1280-869067.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1281,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1281-665883.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1282,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1282-757825.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1283,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1283-482650.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1284,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1284-820302.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1285,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1285-419087.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1286,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1286-481024.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1287,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1287-206194.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1288,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1288-225777.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1289,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1289-899330.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1290,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1290-317545.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1291,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1291-159962.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1292,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1292-295356.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1293,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1293-752912.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1294,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1294-714129.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1295,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1295-287283.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1296,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1296-362381.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1297,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1297-546384.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1298,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1298-349562.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1299,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1299-177049.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1300,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1300-813795.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1301,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1301-167969.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1302,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1302-388465.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1303,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1303-152229.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1304,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1304-787370.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1305,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1305-481214.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1306,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 1306-102291.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1307,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1307-818944.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1308,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1308-798559.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1309,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1309-611909.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1310,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1310-501476.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1311,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1311-150365.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1312,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1312-449740.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1313,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1313-207089.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1314,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1314-595312.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1315,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1315-851237.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1316,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1316-141714.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1317,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1317-642766.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1318,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1318-980617.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1319,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1319-380888.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1320,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1320-197974.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1321,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1321-875075.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1322,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1322-459594.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1323,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1323-729142.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1324,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1324-320015.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1325,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1325-713807.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1326,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1326-909244.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1327,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1327-381086.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1328,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1328-934004.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1329,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1329-446007.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1330,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1330-824690.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1331,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1331-218266.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1332,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1332-467923.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1333,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1333-865671.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1334,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1334-236706.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1335,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1335-843303.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1336,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1336-711197.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1337,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1337-832112.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1338,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1338-968898.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1339,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1339-518589.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1340,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1340-967122.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1341,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1341-349167.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1342,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1342-416472.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1343,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1343-367014.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1344,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1344-765240.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1345,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 1345-401544.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1346,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1346-698409.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1347,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1347-721217.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1348,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1348-898179.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1349,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1349-371359.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1350,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1350-116227.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1351,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1351-574685.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1352,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1352-985826.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1353,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1353-618362.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1354,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1354-318849.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1355,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1355-497212.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1356,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1356-791719.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1357,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1357-833790.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1358,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1358-668775.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1359,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1359-130473.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1360,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1360-905522.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1361,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1361-452811.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1362,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1362-625631.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1363,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1363-488943.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1364,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1364-805683.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1365,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1365-982247.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1366,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1366-974487.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1367,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1367-627882.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1368,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1368-666831.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1369,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1369-145973.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1370,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1370-717048.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1371,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1371-610521.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1372,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1372-228949.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1373,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1373-223775.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1374,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1374-806337.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1375,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1375-153885.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1376,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1376-518049.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1377,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1377-614450.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1378,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1378-542425.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1379,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1379-794903.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1380,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1380-508512.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1381,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1381-523960.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1382,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1382-220390.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1383,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1383-699948.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1384,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1384-684318.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1385,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1385-744450.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1386,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1386-583799.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1387,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1387-700839.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1388,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1388-490051.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1389,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1389-705152.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1390,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1390-650553.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1391,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1391-265065.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1392,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1392-301413.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1393,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1393-630647.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1394,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1394-489761.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1395,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1395-642784.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1396,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1396-676928.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1397,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1397-586332.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1398,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 1398-626425.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1399,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1399-954601.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1400,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1400-563209.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1401,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1401-967583.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1402,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1402-856531.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1403,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1403-144467.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1404,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1404-442071.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1405,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1405-326841.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1406,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1406-522200.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1407,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1407-974898.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1408,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1408-458217.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1409,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1409-435904.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1410,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1410-241509.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1411,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1411-850939.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1412,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1412-408453.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1413,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 1413-900146.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1414,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1414-548146.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1415,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1415-871546.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1416,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1416-405138.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1417,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1417-174204.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1418,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1418-605054.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1419,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1419-558402.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1420,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1420-404213.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1421,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 1421-934991.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1422,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1422-335764.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1423,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1423-500760.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1424,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1424-451493.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1425,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 1425-632771.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1426,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1426-833430.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1427,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1427-615423.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1428,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1428-539515.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1429,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1429-886962.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1430,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1430-759207.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1431,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1431-715343.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1432,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1432-973176.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1433,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1433-254897.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1434,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1434-337088.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1435,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1435-760570.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1436,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1436-626086.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1437,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1437-399631.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1438,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1438-444706.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1439,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1439-705511.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1440,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1440-966761.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1441,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1441-419991.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1442,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1442-690957.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1443,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1443-148857.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1444,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1444-963293.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1445,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 1445-906552.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1446,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1446-610302.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1447,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1447-321927.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1448,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1448-620252.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1449,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1449-200169.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1450,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1450-856093.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1451,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1451-233684.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1452,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1452-154304.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1453,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1453-656703.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1454,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1454-844739.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1455,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 1455-179406.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1456,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1456-313239.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1457,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1457-495285.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1458,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1458-947184.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1459,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 1459-557593.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1460,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1460-480247.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1461,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1461-139520.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1462,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1462-391021.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1463,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1463-703827.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1464,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1464-431629.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1465,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1465-461993.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1466,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1466-464330.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1467,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 1467-732006.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1468,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1468-136980.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1469,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1469-327061.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1470,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 1470-449610.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1471,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1471-338099.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1472,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1472-205658.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1473,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1473-379821.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1474,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1474-402622.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1475,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1475-363266.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1476,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 1476-616465.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1477,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1477-831700.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1478,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1478-550313.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1479,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1479-136370.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1480,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1480-715936.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1481,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1481-899905.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1482,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1482-229825.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1483,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1483-890243.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1484,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1484-684171.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1485,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1485-824783.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1486,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1486-232528.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1487,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1487-688610.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1488,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1488-847479.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1489,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1489-301133.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1490,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1490-552927.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1491,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1491-218390.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1492,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1492-573953.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1493,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1493-418053.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1494,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1494-133121.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1495,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1495-727547.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1496,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1496-661072.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1497,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1497-450486.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1498,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1498-770642.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1499,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1499-540935.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1500,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1500-763934.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1501,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1501-117915.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1502,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1502-937310.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1503,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 1503-868335.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1504,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1504-876291.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1505,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1505-293086.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1506,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1506-608278.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1507,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1507-447359.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1508,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1508-858031.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1509,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1509-395098.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1510,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1510-514368.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1511,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 1511-864428.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1512,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1512-328746.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1513,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1513-650515.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1514,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1514-349811.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1515,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1515-911330.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1516,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1516-765994.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1517,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1517-585262.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1518,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1518-349657.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1519,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1519-680098.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1520,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1520-422624.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1521,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1521-242291.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1522,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1522-951586.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1523,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1523-787478.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1524,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1524-775539.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1525,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1525-766418.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1526,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1526-257404.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1527,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1527-391681.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1528,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1528-917020.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1529,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1529-862344.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1530,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1530-501884.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1531,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1531-233323.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1532,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1532-525131.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1533,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1533-286196.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1534,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 1534-186230.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1535,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1535-665986.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1536,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1536-291213.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1537,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 1537-949686.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1538,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1538-210919.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1539,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1539-411617.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1540,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1540-470524.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1541,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1541-620707.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1542,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1542-969755.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1543,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1543-523601.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1544,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1544-859097.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1545,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1545-993225.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1546,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1546-104973.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1547,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1547-246449.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1548,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1548-943313.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1549,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1549-309472.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1550,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1550-376145.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1551,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1551-755238.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1552,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1552-488112.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1553,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 1553-227544.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1554,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1554-832846.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1555,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1555-943237.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1556,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 1556-681709.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1557,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1557-973871.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1558,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1558-506838.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1559,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1559-664608.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1560,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1560-166610.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1561,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1561-199577.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1562,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1562-833990.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1563,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1563-290636.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1564,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1564-382246.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1565,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1565-720457.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1566,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1566-190678.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1567,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1567-708435.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1568,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1568-192096.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1569,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1569-565258.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1570,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1570-887215.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1571,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1571-423964.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1572,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1572-905779.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1573,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1573-493746.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1574,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1574-273120.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1575,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1575-664976.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1576,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1576-597575.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1577,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1577-610314.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1578,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1578-413541.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1579,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1579-394479.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1580,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1580-355195.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1581,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1581-431604.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1582,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1582-860647.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1583,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1583-767782.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1584,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1584-972476.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1585,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1585-155972.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1586,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1586-182363.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1587,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1587-547840.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1588,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1588-186642.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1589,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1589-532536.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1590,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1590-341110.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1591,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1591-657243.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1592,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1592-818951.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1593,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1593-686912.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1594,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1594-229598.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1595,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1595-809184.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1596,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1596-921415.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1597,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1597-468843.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1598,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1598-465574.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1599,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1599-833377.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1600,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1600-303980.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1601,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1601-716883.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1602,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1602-348724.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1603,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1603-413019.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1604,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1604-156359.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1605,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1605-958941.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1606,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1606-964034.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1607,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1607-671062.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1608,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1608-881980.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1609,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1609-434216.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1610,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1610-856985.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1611,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1611-729456.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1612,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1612-610909.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1613,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1613-169424.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1614,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1614-623958.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1615,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1615-106070.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1616,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1616-581493.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1617,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1617-399172.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1618,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1618-402291.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1619,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1619-564093.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1620,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1620-293897.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1621,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1621-207135.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1622,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1622-621063.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1623,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1623-784498.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1624,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1624-842262.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1625,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1625-551708.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1626,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1626-258085.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1627,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1627-197339.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1628,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 1628-263428.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1629,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1629-998785.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1630,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1630-299201.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1631,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1631-661226.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1632,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1632-932315.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1633,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1633-810498.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1634,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1634-488614.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1635,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1635-950411.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1636,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1636-537629.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1637,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1637-796604.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1638,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1638-124272.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1639,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1639-317443.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1640,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1640-448092.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1641,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1641-154465.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1642,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1642-202867.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1643,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1643-555006.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1644,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1644-691522.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1645,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1645-536526.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1646,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1646-600247.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1647,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1647-642681.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1648,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1648-595097.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1649,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1649-970192.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1650,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1650-615771.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1651,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1651-187326.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1652,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1652-466291.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1653,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1653-744738.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1654,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1654-936427.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1655,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1655-966036.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1656,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 1656-416404.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1657,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1657-630669.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1658,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1658-107757.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1659,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1659-618520.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1660,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1660-120135.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1661,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1661-811279.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1662,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1662-729285.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1663,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1663-680682.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1664,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1664-423853.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1665,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1665-180093.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1666,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1666-739344.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1667,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1667-360724.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1668,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1668-908798.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1669,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1669-930177.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1670,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1670-320124.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1671,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1671-760453.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1672,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1672-585187.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1673,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1673-950921.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1674,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1674-422852.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1675,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1675-287523.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1676,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1676-214040.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1677,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1677-996656.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1678,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1678-525929.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1679,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1679-506745.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1680,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1680-513480.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1681,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1681-380516.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1682,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1682-667268.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1683,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1683-472765.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1684,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1684-232749.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1685,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1685-551713.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1686,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1686-332279.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1687,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1687-339671.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1688,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1688-249403.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1689,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1689-117858.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1690,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1690-196693.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1691,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1691-922006.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1692,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1692-131614.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1693,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1693-294270.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1694,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1694-183639.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1695,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1695-761612.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1696,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1696-481698.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1697,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1697-419540.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1698,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1698-126441.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1699,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1699-344823.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1700,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1700-897262.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1701,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1701-309898.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1702,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1702-675972.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1703,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1703-167408.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1704,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1704-251242.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1705,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1705-439172.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1706,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1706-590583.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1707,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1707-912464.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1708,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1708-460940.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1709,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1709-285596.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1710,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1710-924122.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1711,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1711-694480.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1712,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1712-596597.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1713,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1713-330523.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1714,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1714-970411.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1715,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1715-289967.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1716,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1716-708570.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1717,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1717-240753.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1718,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1718-330789.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1719,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1719-610567.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1720,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1720-129545.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1721,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1721-773684.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1722,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1722-494423.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1723,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1723-522795.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1724,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1724-115677.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1725,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1725-671439.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1726,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1726-771198.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1727,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1727-611288.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1728,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1728-718956.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1729,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1729-333094.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1730,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1730-559462.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1731,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1731-346403.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1732,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1732-539574.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1733,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1733-505104.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1734,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1734-812594.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1735,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1735-608220.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1736,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1736-912297.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1737,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1737-354303.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1738,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1738-378583.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1739,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1739-605983.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1740,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1740-156721.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1741,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1741-426938.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1742,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1742-949320.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1743,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1743-807389.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1744,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1744-162560.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1745,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1745-594220.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1746,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1746-619843.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1747,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1747-620030.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1748,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1748-245492.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1749,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1749-571192.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1750,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1750-982795.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1751,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1751-549439.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1752,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1752-402318.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1753,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1753-563700.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1754,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1754-195339.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1755,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1755-145818.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1756,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1756-373156.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1757,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1757-211830.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1758,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1758-768407.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1759,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1759-174562.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1760,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 1760-836281.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1761,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1761-613582.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1762,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1762-993807.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1763,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1763-748189.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1764,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1764-193019.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1765,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1765-338121.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1766,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1766-389977.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1767,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1767-614888.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1768,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1768-618037.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1769,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1769-599455.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1770,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1770-881060.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1771,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1771-729703.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1772,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1772-327250.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1773,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1773-308508.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1774,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1774-487495.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1775,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1775-506700.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1776,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1776-123446.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1777,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1777-218622.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1778,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1778-665017.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1779,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1779-774553.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1780,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1780-762168.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1781,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1781-816669.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1782,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1782-767269.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1783,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1783-379468.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1784,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1784-767099.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1785,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1785-723211.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1786,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1786-228299.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1787,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1787-338846.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1788,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1788-255747.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1789,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1789-838229.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1790,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1790-860542.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1791,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1791-458913.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1792,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1792-840909.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1793,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1793-726036.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1794,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1794-485588.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1795,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1795-201889.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1796,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1796-644166.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1797,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1797-368201.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1798,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1798-665638.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1799,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1799-487835.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1800,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1800-671197.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1801,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1801-711288.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1802,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1802-690502.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1803,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1803-624624.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1804,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1804-730959.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1805,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 1805-881628.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1806,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1806-912770.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1807,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1807-873278.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1808,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1808-781901.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1809,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1809-701895.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1810,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1810-607036.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1811,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1811-588756.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1812,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1812-107425.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1813,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1813-618865.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1814,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 1814-399486.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1815,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1815-117416.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1816,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1816-351039.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1817,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1817-862770.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1818,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1818-853970.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1819,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 1819-565795.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1820,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1820-495972.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1821,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1821-293672.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1822,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1822-916465.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1823,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1823-562040.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1824,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1824-634199.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1825,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1825-115613.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1826,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1826-927190.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1827,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1827-174828.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1828,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1828-877295.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1829,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1829-760426.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1830,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1830-985437.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1831,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1831-552588.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1832,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1832-394595.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1833,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1833-960147.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1834,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1834-940082.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1835,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1835-640328.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1836,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 1836-569010.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1837,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1837-820690.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1838,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1838-163051.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1839,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1839-828346.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1840,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1840-296174.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1841,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1841-157821.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1842,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1842-716888.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1843,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1843-892940.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1844,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1844-100828.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1845,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1845-777225.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1846,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1846-331369.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1847,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1847-281985.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1848,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1848-910967.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1849,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1849-527136.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1850,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1850-104400.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1851,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 1851-659923.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1852,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1852-257568.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1853,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1853-180863.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1854,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1854-164852.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1855,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1855-518135.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1856,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1856-787497.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1857,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 1857-618684.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1858,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1858-364146.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1859,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1859-501720.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1860,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1860-416350.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1861,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1861-970284.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1862,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1862-669348.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1863,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1863-351908.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1864,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1864-720126.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1865,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1865-407163.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1866,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1866-899819.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1867,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1867-346873.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1868,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1868-301209.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1869,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 1869-966264.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1870,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1870-631482.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1871,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1871-269177.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1872,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1872-924194.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1873,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1873-673123.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1874,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1874-514603.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1875,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1875-757049.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1876,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1876-624718.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1877,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1877-308561.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1878,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 1878-165968.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1879,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1879-490454.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1880,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1880-866519.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1881,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1881-259630.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1882,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1882-197835.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1883,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1883-388725.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1884,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1884-592808.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1885,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1885-423462.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1886,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1886-411273.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1887,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1887-131882.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1888,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1888-561727.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1889,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1889-990247.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1890,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1890-491273.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1891,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1891-685021.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1892,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1892-898223.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1893,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1893-996757.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1894,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1894-155139.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1895,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1895-541014.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1896,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1896-485512.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1897,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1897-219419.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1898,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1898-425731.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1899,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1899-199145.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1900,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1900-571884.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1901,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1901-947624.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1902,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 1902-373447.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1903,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1903-608116.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1904,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1904-359143.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1905,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1905-509013.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1906,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1906-184221.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1907,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1907-682011.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1908,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1908-179352.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1909,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1909-700706.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1910,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1910-820464.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1911,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1911-660854.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1912,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1912-577283.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1913,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1913-891556.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1914,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1914-703087.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1915,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1915-154639.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1916,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1916-658741.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1917,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1917-391814.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1918,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1918-842147.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1919,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1919-271256.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1920,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1920-278939.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1921,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 1921-449665.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1922,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1922-759280.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1923,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1923-967922.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1924,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1924-350943.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1925,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1925-512940.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1926,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1926-830255.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1927,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1927-471839.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1928,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1928-876690.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1929,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1929-786337.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1930,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1930-926800.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1931,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1931-456110.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1932,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1932-787997.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1933,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1933-611035.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1934,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1934-205515.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1935,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1935-594288.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1936,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1936-121961.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1937,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1937-696539.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1938,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1938-689540.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1939,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1939-444713.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1940,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1940-322435.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1941,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1941-297166.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1942,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1942-915749.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1943,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1943-181805.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1944,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1944-900549.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1945,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1945-417852.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1946,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1946-557581.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1947,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 1947-649862.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1948,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1948-656578.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1949,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1949-488491.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1950,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1950-676013.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1951,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1951-718384.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1952,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1952-522226.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1953,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1953-148128.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1954,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1954-629069.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1955,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1955-386994.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1956,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1956-578429.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1957,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1957-288189.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1958,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1958-870378.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1959,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1959-725839.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1960,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1960-989583.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1961,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1961-665153.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1962,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1962-764630.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1963,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1963-810377.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1964,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1964-827402.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1965,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1965-148089.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1966,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1966-925205.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1967,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1967-256462.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1968,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1968-498458.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1969,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1969-856142.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1970,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1970-633470.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1971,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1971-626979.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1972,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1972-891616.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1973,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1973-571718.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1974,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1974-569004.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1975,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1975-418832.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1976,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1976-385598.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1977,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1977-433012.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1978,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1978-509018.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1979,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1979-870795.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1980,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1980-883030.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1981,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1981-444102.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1982,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1982-897422.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1983,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1983-316761.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1984,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1984-743759.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1985,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1985-964422.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1986,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1986-541567.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1987,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1987-840893.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1988,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1988-516630.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+1989,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1989-574819.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1990,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1990-630462.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1991,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1991-899392.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+1992,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 1992-621357.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1993,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1993-769266.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1994,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1994-180283.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1995,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1995-416685.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+1996,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1996-217295.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+1997,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1997-871099.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1998,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1998-431989.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+1999,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1999-511774.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2000,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2000-981453.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2001,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2001-306807.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2002,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2002-271316.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2003,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2003-263346.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2004,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2004-903336.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2005,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2005-966121.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2006,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2006-711342.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2007,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2007-101514.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2008,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2008-478924.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2009,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2009-272698.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2010,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2010-497966.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2011,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2011-189999.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2012,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2012-499214.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2013,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2013-592778.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2014,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2014-169006.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2015,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2015-388723.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2016,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2016-886891.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2017,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2017-446354.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2018,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2018-615069.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2019,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2019-256335.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2020,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2020-723128.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2021,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2021-280453.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2022,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2022-479887.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2023,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2023-776518.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2024,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2024-451092.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2025,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2025-106890.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2026,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2026-143753.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2027,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2027-163594.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2028,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2028-888026.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2029,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2029-636879.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2030,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2030-966774.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2031,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2031-755033.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2032,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2032-534788.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2033,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2033-196915.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2034,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2034-956288.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2035,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2035-945618.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2036,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2036-496078.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2037,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2037-533762.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2038,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2038-353646.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2039,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2039-418643.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2040,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2040-139069.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2041,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2041-662089.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2042,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2042-707070.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2043,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2043-791063.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2044,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2044-153329.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2045,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2045-405613.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2046,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2046-312114.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2047,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2047-630213.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2048,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2048-617161.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2049,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2049-120071.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2050,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2050-705842.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2051,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2051-736570.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2052,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2052-141437.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2053,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2053-473814.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2054,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2054-911328.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2055,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2055-639445.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2056,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2056-233160.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2057,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2057-809340.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2058,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2058-211025.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2059,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2059-848295.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2060,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2060-746983.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2061,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2061-977605.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2062,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2062-365405.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2063,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2063-557327.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2064,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2064-695435.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2065,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2065-378810.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2066,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2066-191730.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2067,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2067-828787.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2068,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2068-865356.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2069,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2069-716649.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2070,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2070-470673.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2071,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2071-710338.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2072,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2072-606497.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2073,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 2073-793439.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2074,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2074-562581.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2075,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2075-727301.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2076,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2076-883868.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2077,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2077-875676.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2078,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2078-578250.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2079,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2079-567499.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2080,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2080-810803.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2081,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2081-146464.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2082,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2082-129101.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2083,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2083-300575.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2084,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2084-833629.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2085,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2085-665351.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2086,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2086-922877.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2087,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2087-400412.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2088,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2088-614415.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2089,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2089-825207.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2090,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2090-363822.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2091,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2091-369350.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2092,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2092-873001.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2093,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2093-235639.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2094,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2094-232776.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2095,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2095-705398.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2096,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2096-862349.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2097,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2097-422478.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2098,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2098-522838.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2099,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2099-220443.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2100,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2100-144742.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2101,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2101-620984.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2102,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2102-364010.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2103,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2103-225453.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2104,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2104-679444.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2105,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2105-359046.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2106,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2106-483682.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2107,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2107-253011.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2108,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2108-652189.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2109,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2109-962861.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2110,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2110-514193.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2111,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2111-378715.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2112,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2112-632721.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2113,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2113-374835.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2114,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2114-891091.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2115,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2115-591098.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2116,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2116-985026.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2117,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2117-672611.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2118,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2118-661560.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2119,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 2119-699008.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2120,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2120-393479.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2121,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2121-673355.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2122,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2122-645056.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2123,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2123-687744.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2124,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2124-362774.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2125,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2125-647529.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2126,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2126-566082.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2127,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2127-177794.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2128,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2128-882796.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2129,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 2129-280898.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2130,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2130-827890.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2131,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2131-428164.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2132,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2132-555356.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2133,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2133-875644.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2134,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2134-438630.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2135,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2135-154740.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2136,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2136-941537.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2137,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2137-753541.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2138,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2138-524626.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2139,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2139-967103.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2140,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2140-769144.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2141,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2141-823656.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2142,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2142-236578.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2143,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2143-850756.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2144,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2144-746152.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2145,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2145-780295.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2146,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2146-560474.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2147,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2147-824550.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2148,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2148-524256.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2149,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2149-773985.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2150,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2150-111857.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2151,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2151-199854.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2152,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2152-311680.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2153,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2153-137710.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2154,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2154-687121.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2155,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2155-884469.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2156,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2156-447122.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2157,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2157-329761.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2158,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2158-676978.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2159,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2159-106493.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2160,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2160-598775.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2161,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2161-707034.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2162,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2162-307938.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2163,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2163-163698.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2164,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 2164-455523.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2165,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2165-412396.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2166,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2166-856353.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2167,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2167-608389.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2168,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2168-788990.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2169,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2169-205609.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2170,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2170-908956.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2171,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2171-248733.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2172,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2172-787335.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2173,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2173-479940.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2174,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2174-678908.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2175,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2175-960401.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2176,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2176-634675.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2177,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2177-430883.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2178,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2178-947755.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2179,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2179-589633.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2180,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2180-449938.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2181,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2181-983858.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2182,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2182-375525.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2183,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2183-152126.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2184,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2184-437530.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2185,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2185-337455.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2186,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2186-443185.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2187,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2187-279494.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2188,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2188-942439.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2189,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2189-297470.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2190,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2190-414057.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2191,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2191-157121.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2192,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2192-500243.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2193,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2193-612573.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2194,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2194-484313.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2195,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2195-453236.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2196,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2196-670054.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2197,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2197-132210.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2198,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2198-462357.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2199,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2199-583809.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2200,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2200-405378.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2201,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2201-320301.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2202,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2202-750763.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2203,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2203-779799.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2204,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2204-425210.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2205,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2205-690626.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2206,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2206-867645.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2207,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2207-560620.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2208,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2208-341981.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2209,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2209-989335.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2210,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2210-262551.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2211,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2211-578743.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2212,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2212-280823.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2213,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 2213-280952.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2214,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2214-350606.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2215,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2215-509013.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2216,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2216-944737.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2217,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2217-878234.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2218,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2218-301576.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2219,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2219-614968.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2220,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2220-749555.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2221,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2221-112573.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2222,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2222-921842.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2223,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2223-779078.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2224,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2224-927442.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2225,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2225-317921.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2226,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2226-338567.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2227,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2227-289613.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2228,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2228-839571.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2229,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2229-405266.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2230,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2230-724704.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2231,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2231-297123.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2232,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2232-786171.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2233,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2233-828796.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2234,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2234-922739.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2235,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2235-771621.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2236,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2236-331793.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2237,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2237-534208.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2238,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2238-218228.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2239,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2239-601441.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2240,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2240-881133.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2241,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2241-243608.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2242,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2242-514772.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2243,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2243-329384.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2244,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2244-801816.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2245,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2245-801985.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2246,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2246-370390.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2247,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2247-761792.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2248,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2248-364281.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2249,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2249-411589.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2250,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2250-102176.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2251,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2251-187538.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2252,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2252-479392.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2253,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2253-226831.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2254,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2254-492158.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2255,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2255-329149.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2256,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2256-733886.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2257,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2257-100604.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2258,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2258-555183.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2259,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2259-539265.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2260,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2260-998793.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2261,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2261-107068.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2262,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2262-189857.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2263,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2263-400124.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2264,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2264-563362.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2265,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2265-174261.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2266,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2266-534718.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2267,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2267-475582.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2268,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2268-383258.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2269,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2269-264071.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2270,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2270-407544.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2271,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2271-183196.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2272,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2272-639340.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2273,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2273-517274.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2274,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2274-381224.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2275,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2275-681494.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2276,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2276-121116.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2277,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2277-131889.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2278,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2278-683386.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2279,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2279-884855.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2280,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2280-933559.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2281,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2281-753370.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2282,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2282-205191.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2283,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2283-481464.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2284,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2284-235340.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2285,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2285-261516.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2286,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2286-619841.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2287,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2287-478127.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2288,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2288-610630.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2289,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2289-723293.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2290,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2290-464690.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2291,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2291-952514.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2292,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2292-863379.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2293,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2293-579882.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2294,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2294-100153.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2295,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2295-903463.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2296,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2296-730713.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2297,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2297-279667.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2298,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2298-341936.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2299,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2299-924524.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2300,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2300-851597.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2301,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2301-350647.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2302,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2302-726314.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2303,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2303-659629.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2304,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2304-109778.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2305,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2305-128616.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2306,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2306-135766.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2307,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2307-179746.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2308,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2308-278353.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2309,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2309-897335.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2310,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2310-553369.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2311,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2311-653568.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2312,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2312-277305.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2313,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2313-590051.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2314,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2314-891912.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2315,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2315-151236.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2316,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2316-279385.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2317,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2317-997422.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2318,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2318-573527.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2319,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2319-134004.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2320,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2320-641045.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2321,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2321-405328.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2322,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2322-191081.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2323,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2323-401398.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2324,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2324-794439.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2325,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2325-897267.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2326,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2326-671920.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2327,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2327-823041.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2328,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2328-759598.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2329,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2329-544346.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2330,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2330-468538.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2331,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2331-530659.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2332,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2332-181222.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2333,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2333-896236.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2334,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2334-685889.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2335,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2335-225414.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2336,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2336-519811.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2337,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 2337-291551.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2338,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2338-548522.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2339,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2339-497239.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2340,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2340-567092.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2341,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2341-402035.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2342,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2342-489396.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2343,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2343-546533.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2344,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2344-522036.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2345,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2345-657603.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2346,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2346-100576.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2347,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2347-763158.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2348,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2348-352775.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2349,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2349-906770.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2350,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2350-283145.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2351,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2351-571964.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2352,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2352-411173.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2353,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2353-696351.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2354,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2354-137515.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2355,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2355-361568.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2356,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2356-610911.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2357,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2357-595350.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2358,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2358-175834.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2359,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2359-326145.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2360,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2360-735884.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2361,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2361-634915.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2362,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2362-424793.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2363,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2363-687754.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2364,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2364-212370.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2365,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2365-708475.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2366,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2366-692164.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2367,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2367-976077.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2368,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2368-599813.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2369,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2369-226537.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2370,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2370-190761.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2371,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2371-524443.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2372,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2372-705908.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2373,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2373-861357.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2374,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2374-195484.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2375,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2375-357025.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2376,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2376-353863.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2377,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2377-276955.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2378,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2378-264210.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2379,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2379-534379.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2380,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2380-421789.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2381,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2381-681144.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2382,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2382-254456.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2383,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2383-955775.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2384,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2384-765134.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2385,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2385-805266.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2386,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2386-299189.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2387,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2387-269037.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2388,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2388-984052.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2389,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2389-803095.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2390,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2390-686491.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2391,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2391-291749.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2392,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2392-287433.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2393,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2393-669330.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2394,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2394-435397.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2395,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2395-428965.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2396,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2396-319162.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2397,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2397-878199.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2398,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2398-633506.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2399,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2399-348642.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2400,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2400-322581.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2401,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2401-719460.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2402,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2402-920789.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2403,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2403-865123.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2404,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2404-351355.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2405,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2405-172418.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2406,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2406-758816.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2407,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2407-710319.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2408,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2408-461499.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2409,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2409-326667.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2410,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2410-885880.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2411,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2411-520897.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2412,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2412-505869.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2413,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2413-861706.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2414,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2414-885786.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2415,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2415-574749.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2416,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2416-172842.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2417,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2417-499471.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2418,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2418-387763.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2419,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2419-757690.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2420,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2420-485039.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2421,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2421-696650.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2422,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2422-737901.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2423,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2423-972646.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2424,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2424-428697.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2425,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2425-305153.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2426,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2426-891228.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2427,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2427-911245.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2428,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2428-422727.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2429,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2429-578914.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2430,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2430-890008.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2431,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2431-282200.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2432,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2432-163738.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2433,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2433-234453.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2434,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2434-521612.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2435,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2435-108464.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2436,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2436-381514.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2437,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2437-924757.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2438,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2438-781063.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2439,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2439-602351.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2440,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2440-969820.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2441,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2441-248728.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2442,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2442-228323.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2443,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2443-292150.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2444,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2444-357908.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2445,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2445-812601.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2446,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2446-235255.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2447,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2447-861890.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2448,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2448-660930.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2449,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2449-504434.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2450,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2450-151868.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2451,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2451-874029.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2452,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2452-322251.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2453,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2453-259249.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2454,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2454-790312.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2455,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2455-970451.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2456,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2456-315473.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2457,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2457-818531.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2458,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2458-626742.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2459,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2459-524183.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2460,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2460-778271.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2461,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2461-683589.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2462,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2462-641576.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2463,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2463-998529.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2464,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2464-233794.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2465,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2465-162469.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2466,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2466-758745.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2467,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2467-906976.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2468,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2468-152768.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2469,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2469-526049.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2470,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2470-438404.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2471,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2471-153836.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2472,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2472-819012.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2473,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2473-937757.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2474,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2474-155256.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2475,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2475-194939.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2476,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2476-347800.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2477,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2477-318727.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2478,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2478-697094.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2479,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2479-613764.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2480,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2480-503326.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2481,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2481-896199.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2482,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2482-320839.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2483,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2483-720509.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2484,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2484-422798.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2485,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2485-841297.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2486,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2486-884494.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2487,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2487-735500.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2488,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2488-981658.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2489,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2489-831898.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2490,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2490-587112.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2491,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2491-298874.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2492,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2492-362461.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2493,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2493-365204.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2494,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2494-277016.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2495,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2495-646024.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2496,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2496-462598.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2497,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2497-541561.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2498,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2498-661992.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2499,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2499-598832.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2500,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2500-585443.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2501,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2501-529165.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2502,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2502-762832.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2503,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2503-347848.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2504,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2504-893525.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2505,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2505-101182.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2506,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2506-335147.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2507,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2507-155549.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2508,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2508-614038.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2509,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2509-636499.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2510,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2510-742870.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2511,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2511-875901.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2512,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2512-541397.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2513,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2513-461100.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2514,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2514-190537.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2515,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2515-835663.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2516,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2516-922895.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2517,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2517-856987.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2518,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2518-489143.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2519,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2519-575466.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2520,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2520-988400.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2521,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2521-908978.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2522,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2522-199869.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2523,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2523-425770.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2524,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2524-141992.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2525,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2525-547767.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2526,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2526-230179.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2527,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2527-495206.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2528,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2528-544569.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2529,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2529-776032.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2530,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2530-432458.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2531,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2531-805659.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2532,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2532-519192.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2533,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2533-281509.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2534,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2534-730234.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2535,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2535-243437.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2536,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2536-678822.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2537,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2537-411937.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2538,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2538-939480.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2539,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2539-786618.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2540,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2540-397094.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2541,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2541-207948.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2542,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2542-323470.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2543,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2543-544812.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2544,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2544-510904.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2545,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2545-203175.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2546,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2546-444168.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2547,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2547-472611.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2548,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2548-229760.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2549,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2549-368565.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2550,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2550-859074.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2551,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2551-984417.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2552,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2552-886230.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2553,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2553-946706.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2554,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 2554-137300.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2555,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2555-763553.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2556,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2556-229138.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2557,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2557-704412.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2558,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2558-170697.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2559,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2559-303182.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2560,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2560-932328.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2561,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2561-148109.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2562,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2562-929570.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2563,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2563-678627.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2564,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2564-385950.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2565,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2565-985436.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2566,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2566-569729.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2567,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2567-763009.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2568,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2568-303556.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2569,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2569-272505.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2570,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2570-757889.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2571,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2571-700290.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2572,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2572-329921.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2573,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2573-815778.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2574,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2574-298794.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2575,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2575-262492.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2576,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2576-255917.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2577,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2577-962503.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2578,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2578-836338.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2579,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2579-906622.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2580,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2580-744112.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2581,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2581-170771.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2582,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2582-527351.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2583,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2583-107190.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2584,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2584-858448.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2585,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2585-552389.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2586,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2586-928870.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2587,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2587-971620.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2588,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2588-367599.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2589,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2589-775919.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2590,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2590-957969.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2591,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2591-781351.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2592,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2592-621414.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2593,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2593-623454.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2594,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2594-548859.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2595,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2595-997946.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2596,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2596-603223.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2597,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2597-494763.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2598,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2598-502172.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2599,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2599-249845.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2600,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2600-818047.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2601,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2601-566007.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2602,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2602-673863.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2603,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2603-720859.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2604,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2604-721191.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2605,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2605-227131.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2606,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2606-544145.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2607,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2607-523186.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2608,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2608-870750.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2609,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2609-112821.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2610,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2610-539887.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2611,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2611-781767.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2612,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2612-843331.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2613,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2613-165899.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2614,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2614-442881.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2615,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2615-356394.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2616,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2616-942727.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2617,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2617-802558.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2618,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2618-926044.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2619,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2619-557208.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2620,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 2620-342256.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2621,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2621-747994.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2622,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2622-688361.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2623,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2623-222369.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2624,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2624-908149.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2625,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2625-913530.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2626,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2626-371556.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2627,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2627-651597.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2628,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2628-778829.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2629,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2629-366016.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2630,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2630-914209.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2631,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2631-242088.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2632,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2632-776545.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2633,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2633-352965.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2634,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2634-748204.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2635,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2635-533676.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2636,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2636-409357.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2637,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2637-780216.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2638,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2638-349489.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2639,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2639-397382.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2640,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2640-216509.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2641,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2641-763047.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2642,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2642-410667.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2643,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2643-963459.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2644,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2644-403950.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2645,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2645-692570.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2646,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2646-175207.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2647,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2647-608390.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2648,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2648-171742.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2649,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2649-133632.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2650,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2650-775133.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2651,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2651-199343.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2652,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2652-215788.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2653,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2653-849557.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2654,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2654-958622.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2655,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2655-311290.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2656,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2656-376265.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2657,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2657-954024.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2658,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2658-147782.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2659,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2659-638537.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2660,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2660-910292.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2661,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2661-603229.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2662,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2662-969405.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2663,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2663-764988.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2664,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2664-859720.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2665,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2665-128190.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2666,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2666-500365.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2667,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2667-805602.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2668,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2668-881271.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2669,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2669-922577.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2670,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2670-771357.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2671,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2671-462380.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2672,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2672-941702.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2673,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 2673-635065.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2674,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2674-604606.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2675,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2675-424703.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2676,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2676-970247.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2677,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2677-865701.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2678,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2678-602179.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2679,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2679-641306.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2680,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2680-666880.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2681,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2681-778005.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2682,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2682-127015.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2683,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2683-541725.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2684,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2684-502808.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2685,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2685-473927.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2686,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2686-549676.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2687,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2687-210207.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2688,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2688-903759.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2689,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2689-108096.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2690,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2690-443809.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2691,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2691-543682.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2692,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2692-418475.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2693,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2693-456958.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2694,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2694-713311.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2695,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2695-879415.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2696,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2696-947178.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2697,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2697-424934.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2698,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2698-525251.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2699,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2699-230355.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2700,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2700-933837.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2701,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2701-311695.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2702,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2702-580742.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2703,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2703-140630.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2704,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2704-396835.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2705,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2705-463380.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2706,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2706-950505.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2707,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2707-497907.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2708,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2708-581788.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2709,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2709-194979.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2710,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2710-906007.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2711,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2711-393657.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2712,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2712-254243.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2713,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2713-565100.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2714,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2714-703030.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2715,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2715-554021.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2716,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2716-629847.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2717,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2717-439292.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2718,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2718-305256.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2719,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2719-468933.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2720,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2720-332109.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2721,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2721-673765.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2722,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2722-419577.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2723,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2723-111255.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2724,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2724-306885.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2725,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2725-279038.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2726,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2726-621242.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2727,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2727-388582.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2728,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2728-683233.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2729,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2729-697985.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2730,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2730-967896.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2731,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2731-631258.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2732,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2732-296572.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2733,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2733-705939.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2734,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2734-273949.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2735,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2735-494415.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2736,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2736-882449.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2737,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2737-372030.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2738,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2738-654256.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2739,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2739-957241.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2740,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2740-999813.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2741,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2741-679682.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2742,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2742-871866.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2743,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2743-808499.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2744,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2744-781520.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2745,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2745-724198.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2746,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2746-998283.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2747,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2747-859418.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2748,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2748-420379.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2749,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2749-794469.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2750,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2750-779497.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2751,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2751-179971.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2752,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2752-738900.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2753,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2753-562450.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2754,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2754-109289.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2755,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2755-119631.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2756,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2756-341729.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2757,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2757-269637.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2758,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2758-583783.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2759,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2759-500984.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2760,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2760-616700.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2761,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2761-775243.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2762,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2762-441221.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2763,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2763-917671.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2764,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2764-517641.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2765,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2765-345820.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2766,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2766-697259.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2767,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2767-483596.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2768,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2768-438832.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2769,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2769-512276.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2770,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2770-536505.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2771,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2771-855252.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2772,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2772-726947.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2773,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2773-434299.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2774,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2774-612992.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2775,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2775-764574.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2776,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2776-756222.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2777,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2777-354731.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2778,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2778-382471.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2779,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2779-755956.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2780,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2780-715645.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2781,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2781-756136.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2782,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2782-903371.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2783,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2783-157133.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2784,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2784-861257.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2785,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2785-939426.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2786,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2786-889249.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2787,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2787-874330.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2788,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2788-690134.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2789,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2789-475460.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2790,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2790-178385.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2791,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2791-126527.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2792,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2792-994575.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2793,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2793-514337.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2794,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2794-920941.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2795,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2795-922000.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2796,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2796-223944.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2797,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2797-519986.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2798,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2798-331597.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2799,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2799-307157.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2800,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2800-663587.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2801,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2801-982489.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2802,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2802-206572.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2803,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2803-932805.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2804,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2804-893911.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2805,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2805-637936.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2806,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2806-305228.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2807,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2807-375912.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2808,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2808-907226.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2809,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2809-895320.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2810,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2810-725552.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2811,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2811-566826.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2812,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2812-722932.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2813,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2813-878650.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2814,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2814-437737.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2815,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2815-262095.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2816,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2816-344754.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2817,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2817-380381.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2818,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2818-722775.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2819,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2819-209296.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2820,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2820-462055.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2821,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2821-216787.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2822,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2822-879604.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2823,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2823-720564.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2824,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2824-397653.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2825,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2825-911320.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2826,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2826-288817.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2827,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2827-816283.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2828,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2828-108692.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2829,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2829-171135.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2830,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2830-855771.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2831,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2831-975823.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2832,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2832-731818.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2833,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2833-346626.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2834,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2834-177165.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2835,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2835-102075.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2836,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2836-372548.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2837,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2837-223188.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2838,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2838-947062.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2839,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2839-621761.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2840,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2840-139636.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2841,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2841-227046.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2842,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2842-150154.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2843,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2843-608428.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2844,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2844-382438.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2845,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2845-967058.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2846,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2846-449322.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2847,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2847-636827.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2848,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2848-610068.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2849,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2849-837073.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2850,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2850-731762.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2851,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2851-829228.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2852,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2852-210382.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2853,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2853-777064.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2854,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2854-262833.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2855,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2855-542455.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2856,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2856-907898.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2857,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2857-509352.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2858,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2858-347581.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2859,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2859-212693.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2860,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2860-586710.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2861,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2861-843242.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2862,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2862-125118.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2863,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2863-384216.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2864,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2864-413117.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2865,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2865-672834.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2866,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2866-750530.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2867,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2867-287248.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2868,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2868-908242.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2869,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2869-401346.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2870,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2870-138946.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2871,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2871-384852.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2872,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2872-598837.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2873,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2873-562964.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2874,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2874-480478.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2875,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2875-785485.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2876,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2876-826018.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2877,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2877-544063.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2878,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2878-495569.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2879,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2879-211197.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2880,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2880-443370.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2881,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2881-759600.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2882,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2882-476987.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2883,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2883-403359.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2884,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2884-394278.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2885,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2885-855987.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2886,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2886-915334.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2887,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2887-946071.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2888,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2888-550546.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2889,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2889-921647.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2890,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2890-527959.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2891,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2891-300871.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2892,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2892-356742.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2893,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2893-716869.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2894,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2894-787341.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2895,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2895-780535.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2896,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2896-166154.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2897,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2897-822292.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2898,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2898-982128.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2899,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2899-844153.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2900,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2900-729003.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2901,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2901-554352.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2902,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2902-548527.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2903,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2903-361616.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2904,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 2904-932631.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2905,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2905-870887.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2906,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2906-719031.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2907,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2907-832139.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2908,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2908-298539.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2909,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2909-155927.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2910,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2910-635748.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2911,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2911-173688.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2912,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2912-483336.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2913,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 2913-558356.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2914,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2914-328291.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2915,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2915-574590.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2916,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2916-405600.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2917,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2917-466809.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2918,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2918-772993.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2919,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2919-852820.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2920,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2920-529762.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2921,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2921-711697.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2922,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2922-211578.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2923,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2923-589778.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2924,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2924-205581.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2925,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2925-470361.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2926,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2926-341917.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2927,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2927-373559.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2928,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2928-142984.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2929,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2929-108974.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2930,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2930-432329.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2931,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2931-949459.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2932,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2932-240433.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2933,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2933-972220.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2934,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 2934-106144.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2935,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2935-746722.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2936,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2936-210239.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2937,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2937-460267.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2938,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2938-194942.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2939,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2939-410389.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2940,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2940-426671.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2941,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2941-330202.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2942,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2942-464030.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2943,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2943-293326.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2944,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2944-717849.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2945,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2945-390188.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2946,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2946-985607.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2947,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2947-468269.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2948,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2948-606534.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2949,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2949-883379.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2950,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2950-311254.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2951,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2951-211768.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2952,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2952-144696.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2953,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2953-355841.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2954,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2954-833916.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2955,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2955-534081.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2956,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2956-176653.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2957,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2957-628512.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2958,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2958-503044.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2959,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2959-207005.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2960,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2960-307342.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2961,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2961-479354.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2962,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2962-244054.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2963,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2963-721776.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2964,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2964-231883.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2965,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2965-527661.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2966,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2966-389858.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2967,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2967-723683.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2968,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2968-158911.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2969,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2969-996550.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2970,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2970-669666.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2971,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2971-872400.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2972,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2972-448988.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2973,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2973-858733.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2974,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2974-408755.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2975,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2975-480805.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2976,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2976-864462.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2977,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2977-486893.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2978,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2978-525095.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2979,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2979-755256.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2980,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2980-429883.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2981,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2981-433501.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2982,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2982-665325.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2983,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2983-830166.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2984,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2984-116215.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2985,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2985-408802.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2986,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2986-605422.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2987,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2987-171788.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2988,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2988-686574.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2989,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2989-491491.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2990,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2990-452242.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+2991,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2991-323124.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2992,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2992-154903.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2993,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2993-935456.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+2994,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2994-819498.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2995,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2995-703700.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2996,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 2996-905260.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+2997,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2997-207848.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+2998,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2998-310943.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+2999,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2999-846632.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3000,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3000-231063.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3001,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3001-995789.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3002,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3002-682805.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3003,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3003-648675.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3004,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3004-754926.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3005,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3005-555535.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3006,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3006-646799.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3007,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3007-653825.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3008,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3008-456418.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3009,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3009-226315.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3010,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3010-913739.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3011,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3011-546819.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3012,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3012-498142.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3013,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3013-937543.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3014,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3014-880367.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3015,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3015-229284.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3016,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3016-849563.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3017,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3017-584823.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3018,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3018-279007.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3019,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3019-563801.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3020,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3020-316376.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3021,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3021-411935.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3022,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3022-607986.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3023,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3023-223177.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3024,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3024-774008.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3025,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3025-675652.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3026,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3026-829551.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3027,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3027-347790.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3028,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3028-829716.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3029,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3029-290619.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3030,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3030-902806.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3031,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3031-859586.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3032,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3032-947932.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3033,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3033-921607.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3034,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3034-720003.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3035,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3035-560991.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3036,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3036-246424.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3037,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3037-922498.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3038,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3038-874957.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3039,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3039-351794.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3040,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3040-429343.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3041,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3041-534158.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3042,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3042-240524.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3043,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3043-117911.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3044,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3044-575889.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3045,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3045-740366.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3046,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3046-765201.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3047,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3047-893929.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3048,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3048-782329.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3049,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3049-991425.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3050,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3050-142055.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3051,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3051-832864.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3052,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 3052-550613.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3053,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3053-835993.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3054,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3054-976667.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3055,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3055-864816.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3056,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3056-973077.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3057,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3057-528510.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3058,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3058-481284.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3059,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3059-378337.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3060,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3060-877180.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3061,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3061-203387.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3062,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3062-708636.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3063,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3063-777271.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3064,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3064-824215.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3065,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3065-644884.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3066,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3066-256414.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3067,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3067-907962.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3068,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3068-683690.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3069,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3069-631224.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3070,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3070-674222.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3071,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3071-613542.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3072,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3072-585333.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3073,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3073-350080.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3074,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3074-281714.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3075,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3075-993664.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3076,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3076-240153.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3077,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3077-698439.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3078,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3078-265877.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3079,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3079-460698.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3080,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3080-723008.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3081,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3081-132193.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3082,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3082-144276.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3083,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3083-586221.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3084,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3084-875007.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3085,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3085-628661.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3086,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3086-151104.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3087,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3087-675199.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3088,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3088-198526.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3089,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3089-329656.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3090,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3090-750647.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3091,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3091-657774.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3092,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3092-254792.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3093,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3093-612764.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3094,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3094-471273.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3095,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3095-882218.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3096,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3096-617121.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3097,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3097-319308.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3098,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3098-234063.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3099,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3099-386646.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3100,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3100-279613.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3101,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3101-160802.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3102,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3102-109700.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3103,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3103-291493.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3104,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3104-324354.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3105,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3105-701582.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3106,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3106-242112.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3107,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3107-173675.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3108,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3108-929993.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3109,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3109-576758.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3110,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3110-295600.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3111,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3111-707862.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3112,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3112-821492.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3113,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 3113-662899.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3114,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3114-822554.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3115,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3115-972361.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3116,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3116-589816.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3117,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3117-605600.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3118,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3118-585146.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3119,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3119-655810.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3120,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3120-181075.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3121,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3121-867069.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3122,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3122-315568.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3123,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3123-676746.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3124,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3124-169164.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3125,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3125-265055.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3126,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3126-962072.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3127,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3127-106139.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3128,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3128-303106.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3129,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3129-457487.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3130,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3130-924896.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3131,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3131-959198.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3132,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3132-766146.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3133,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3133-600118.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3134,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3134-362461.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3135,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3135-633184.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3136,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3136-736124.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3137,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3137-392226.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3138,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3138-680805.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3139,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3139-659965.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3140,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3140-246108.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3141,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3141-732211.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3142,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3142-746440.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3143,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3143-464032.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3144,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3144-388718.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3145,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3145-622009.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3146,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3146-615624.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3147,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3147-908195.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3148,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3148-620270.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3149,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3149-132784.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3150,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3150-576417.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3151,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3151-253846.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3152,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3152-704839.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3153,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3153-428539.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3154,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3154-268679.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3155,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3155-361911.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3156,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3156-779817.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3157,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3157-502540.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3158,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3158-802031.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3159,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3159-664863.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3160,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3160-965739.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3161,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3161-722757.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3162,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3162-579581.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3163,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3163-728021.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3164,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3164-867080.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3165,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3165-548169.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3166,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3166-975557.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3167,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3167-527252.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3168,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3168-773716.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3169,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3169-564867.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3170,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3170-230526.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3171,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3171-446309.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3172,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3172-729375.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3173,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3173-145284.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3174,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3174-401772.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3175,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3175-454556.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3176,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3176-762767.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3177,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3177-645531.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3178,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3178-780374.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3179,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3179-321380.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3180,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3180-270301.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3181,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3181-120292.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3182,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3182-826287.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3183,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3183-748769.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3184,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3184-616553.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3185,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3185-821816.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3186,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3186-359394.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3187,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3187-837438.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3188,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3188-302513.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3189,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3189-910653.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3190,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3190-649215.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3191,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3191-357513.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3192,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3192-839570.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3193,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3193-295870.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3194,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3194-158697.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3195,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3195-875145.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3196,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3196-222299.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3197,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3197-693493.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3198,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3198-899368.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3199,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3199-535550.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3200,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3200-885874.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3201,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3201-223423.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3202,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3202-792741.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3203,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3203-631155.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3204,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3204-269193.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3205,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3205-566358.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3206,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3206-258319.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3207,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3207-687525.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3208,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3208-280322.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3209,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3209-789308.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3210,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3210-450292.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3211,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3211-772030.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3212,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3212-387309.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3213,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3213-162874.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3214,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3214-790951.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3215,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3215-278156.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3216,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3216-893963.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3217,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3217-463569.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3218,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3218-976418.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3219,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3219-659312.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3220,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3220-245049.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3221,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3221-280448.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3222,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 3222-223929.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3223,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3223-796290.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3224,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3224-438327.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3225,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3225-100317.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3226,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3226-327152.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3227,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3227-294159.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3228,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3228-962274.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3229,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3229-668657.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3230,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3230-210812.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3231,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3231-149354.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3232,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3232-797946.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3233,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3233-545903.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3234,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3234-862256.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3235,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3235-894238.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3236,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3236-480885.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3237,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3237-113089.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3238,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3238-679296.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3239,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3239-575452.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3240,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3240-749365.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3241,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3241-248441.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3242,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3242-538721.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3243,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3243-370980.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3244,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3244-882155.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3245,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3245-828704.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3246,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3246-119305.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3247,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3247-907360.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3248,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3248-716712.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3249,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3249-985649.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3250,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3250-993675.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3251,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3251-613399.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3252,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3252-802988.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3253,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3253-141792.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3254,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3254-997277.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3255,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3255-634665.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3256,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3256-489140.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3257,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3257-854100.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3258,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3258-869898.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3259,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3259-160425.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3260,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3260-444576.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3261,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3261-148281.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3262,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3262-966305.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3263,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3263-181799.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3264,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3264-810628.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3265,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3265-757698.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3266,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3266-754130.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3267,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3267-581570.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3268,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3268-851366.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3269,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3269-246524.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3270,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3270-545392.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3271,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3271-621827.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3272,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3272-699921.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3273,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3273-429076.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3274,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3274-138661.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3275,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3275-901559.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3276,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3276-634114.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3277,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3277-796279.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3278,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3278-730188.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3279,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3279-830503.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3280,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3280-265787.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3281,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3281-397987.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3282,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3282-927095.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3283,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3283-593512.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3284,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3284-651377.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3285,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3285-381150.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3286,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3286-341564.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3287,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3287-505879.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3288,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3288-379484.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3289,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3289-703521.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3290,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3290-986105.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3291,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3291-709261.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3292,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3292-380696.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3293,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3293-554012.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3294,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3294-774013.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3295,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3295-584042.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3296,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3296-233178.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3297,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3297-590503.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3298,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3298-394426.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3299,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3299-432910.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3300,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3300-842258.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3301,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3301-114245.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3302,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3302-657557.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3303,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3303-623968.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3304,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3304-889695.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3305,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3305-141688.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3306,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3306-874432.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3307,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3307-792556.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3308,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3308-695327.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3309,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3309-399973.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3310,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3310-403583.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3311,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3311-500694.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3312,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3312-159620.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3313,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3313-638012.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3314,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3314-469407.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3315,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3315-409143.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3316,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3316-501592.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3317,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3317-241019.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3318,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3318-486885.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3319,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3319-611750.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3320,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3320-630940.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3321,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3321-148086.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3322,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3322-928702.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3323,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3323-379973.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3324,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3324-612141.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3325,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3325-784265.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3326,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3326-451046.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3327,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3327-987816.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3328,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3328-205921.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3329,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3329-786771.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3330,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3330-744779.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3331,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3331-431004.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3332,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3332-944119.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3333,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3333-393834.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3334,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3334-299619.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3335,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3335-462773.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3336,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3336-615386.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3337,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3337-871083.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3338,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3338-286570.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3339,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3339-866101.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3340,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3340-370249.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3341,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3341-438854.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3342,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3342-696426.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3343,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3343-164237.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3344,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3344-128826.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3345,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3345-994072.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3346,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3346-488654.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3347,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3347-174226.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3348,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3348-305813.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3349,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3349-465504.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3350,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3350-931495.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3351,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3351-768529.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3352,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3352-975663.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3353,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3353-177574.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3354,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3354-820583.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3355,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3355-723097.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3356,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3356-248074.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3357,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3357-889886.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3358,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3358-172807.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3359,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3359-126685.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3360,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3360-619842.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3361,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3361-247737.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3362,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3362-703492.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3363,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3363-734303.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3364,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3364-144352.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3365,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3365-828877.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3366,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3366-371673.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3367,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3367-702938.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3368,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3368-418930.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3369,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3369-493371.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3370,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3370-104629.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3371,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3371-723776.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3372,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3372-816274.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3373,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3373-933149.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3374,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3374-975336.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3375,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3375-180614.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3376,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3376-152345.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3377,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3377-939883.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3378,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 3378-426674.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3379,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3379-283982.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3380,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3380-443436.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3381,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3381-282484.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3382,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3382-462292.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3383,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3383-517705.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3384,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3384-672137.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3385,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3385-289261.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3386,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3386-940980.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3387,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3387-859049.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3388,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3388-283534.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3389,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3389-285533.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3390,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3390-626442.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3391,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3391-363673.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3392,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3392-113728.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3393,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3393-433945.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3394,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3394-382681.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3395,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3395-993209.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3396,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3396-829001.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3397,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3397-739771.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3398,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3398-298903.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3399,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3399-391027.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3400,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3400-763973.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3401,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3401-723175.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3402,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3402-488905.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3403,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3403-395673.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3404,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3404-964565.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3405,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3405-546727.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3406,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3406-572062.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3407,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3407-366282.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3408,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 3408-892846.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3409,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3409-605435.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3410,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3410-857927.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3411,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3411-308008.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3412,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3412-361045.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3413,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3413-803316.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3414,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3414-509955.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3415,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3415-647585.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3416,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3416-495159.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3417,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3417-723681.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3418,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3418-305613.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3419,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3419-779331.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3420,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3420-330380.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3421,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3421-872984.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3422,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3422-543222.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3423,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3423-228197.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3424,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3424-344450.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3425,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3425-735673.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3426,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3426-566327.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3427,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3427-391676.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3428,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3428-480104.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3429,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3429-980802.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3430,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3430-675447.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3431,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3431-863407.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3432,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3432-106759.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3433,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3433-315824.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3434,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3434-206309.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3435,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3435-454618.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3436,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3436-659517.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3437,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3437-908983.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3438,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3438-763179.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3439,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3439-957062.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3440,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3440-181564.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3441,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3441-517618.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3442,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3442-680512.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3443,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3443-110846.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3444,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3444-335645.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3445,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3445-597136.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3446,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3446-431236.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3447,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3447-883169.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3448,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3448-502693.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3449,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3449-183247.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3450,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3450-718187.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3451,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3451-538556.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3452,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3452-133734.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3453,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3453-908446.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3454,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3454-507270.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3455,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3455-896284.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3456,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3456-130120.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3457,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3457-736651.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3458,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3458-774527.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3459,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3459-225625.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3460,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3460-476437.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3461,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3461-351539.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3462,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3462-731154.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3463,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3463-450988.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3464,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3464-270844.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3465,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3465-749097.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3466,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3466-608610.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3467,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3467-126154.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3468,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3468-629167.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3469,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3469-845578.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3470,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3470-149803.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3471,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3471-456375.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3472,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3472-994116.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3473,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3473-909356.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3474,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3474-775716.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3475,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3475-210809.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3476,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3476-927647.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3477,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3477-390149.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3478,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3478-369038.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3479,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3479-734309.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3480,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3480-379873.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3481,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3481-106024.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3482,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3482-724211.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3483,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3483-297371.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3484,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3484-640154.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3485,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3485-332102.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3486,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3486-353240.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3487,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3487-692032.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3488,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3488-264422.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3489,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3489-209745.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3490,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3490-834979.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3491,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3491-385620.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3492,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3492-423581.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3493,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3493-487744.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3494,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3494-970097.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3495,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3495-908349.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3496,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3496-651363.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3497,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3497-632941.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3498,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3498-829539.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3499,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3499-963021.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3500,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3500-952619.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3501,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3501-848931.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3502,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3502-263314.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3503,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3503-463618.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3504,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3504-774984.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3505,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3505-351348.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3506,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3506-530037.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3507,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3507-179120.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3508,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3508-462639.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3509,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3509-969889.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3510,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3510-741127.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3511,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3511-483440.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3512,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3512-730557.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3513,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3513-469477.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3514,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3514-600978.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3515,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3515-846207.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3516,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3516-404406.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3517,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3517-309655.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3518,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3518-519886.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3519,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3519-807263.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3520,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3520-156603.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3521,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3521-166699.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3522,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3522-604797.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3523,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3523-384735.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3524,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3524-970161.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3525,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3525-615527.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3526,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3526-494153.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3527,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3527-978074.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3528,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3528-133529.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3529,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3529-841499.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3530,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3530-987863.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3531,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3531-460529.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3532,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3532-597006.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3533,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3533-947223.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3534,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3534-151777.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3535,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3535-672025.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3536,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3536-744729.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3537,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3537-772580.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3538,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3538-706587.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3539,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3539-725159.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3540,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3540-505903.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3541,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3541-476683.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3542,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3542-722365.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3543,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3543-497907.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3544,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3544-335007.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3545,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3545-510721.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3546,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3546-287285.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3547,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3547-327628.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3548,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3548-537594.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3549,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3549-159576.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3550,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3550-765440.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3551,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3551-710615.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3552,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3552-424275.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3553,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3553-158694.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3554,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3554-919308.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3555,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3555-907213.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3556,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3556-971935.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3557,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3557-806959.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3558,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3558-802513.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3559,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3559-691655.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3560,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3560-140383.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3561,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3561-799334.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3562,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3562-220696.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3563,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3563-266141.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3564,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3564-734825.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3565,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3565-412361.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3566,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3566-159552.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3567,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3567-788394.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3568,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3568-332416.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3569,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3569-406097.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3570,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3570-937643.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3571,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3571-577804.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3572,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3572-206049.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3573,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3573-910345.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3574,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3574-468454.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3575,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3575-936413.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3576,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3576-299828.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3577,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3577-661908.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3578,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3578-557041.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3579,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3579-164795.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3580,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3580-516074.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3581,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3581-633525.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3582,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3582-768367.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3583,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3583-957934.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3584,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3584-631960.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3585,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3585-808129.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3586,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3586-811354.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3587,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3587-170722.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3588,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3588-866102.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3589,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3589-100133.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3590,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3590-608148.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3591,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3591-170544.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3592,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3592-940672.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3593,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3593-682175.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3594,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3594-749236.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3595,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3595-154862.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3596,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3596-683305.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3597,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3597-830933.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3598,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3598-116086.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3599,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3599-765347.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3600,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3600-671375.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3601,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3601-312428.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3602,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3602-151950.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3603,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3603-633563.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3604,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3604-995519.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3605,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3605-272841.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3606,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3606-581187.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3607,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3607-785031.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3608,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3608-955977.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3609,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3609-398496.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3610,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3610-926525.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3611,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3611-938301.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3612,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3612-666873.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3613,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3613-141860.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3614,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3614-301928.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3615,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3615-875323.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3616,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3616-208067.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3617,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3617-527529.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3618,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3618-473750.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3619,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3619-479215.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3620,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3620-795977.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3621,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3621-673438.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3622,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3622-738574.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3623,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3623-988742.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3624,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3624-900627.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3625,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3625-400787.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3626,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3626-530311.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3627,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3627-496098.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3628,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3628-962781.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3629,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3629-545698.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3630,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3630-803304.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3631,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3631-261093.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3632,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3632-787040.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3633,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3633-919042.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3634,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3634-415433.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3635,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3635-825132.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3636,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3636-705706.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3637,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3637-347524.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3638,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3638-331174.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3639,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3639-321880.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3640,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3640-443532.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3641,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3641-615841.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3642,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3642-125652.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3643,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3643-217802.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3644,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3644-922466.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3645,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3645-554384.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3646,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3646-818588.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3647,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3647-937224.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3648,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3648-753709.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3649,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3649-496147.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3650,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3650-452343.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3651,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3651-445987.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3652,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3652-609369.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3653,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3653-248552.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3654,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3654-244149.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3655,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3655-856326.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3656,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3656-549461.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3657,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3657-550348.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3658,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3658-557961.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3659,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3659-982666.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3660,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3660-863659.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3661,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3661-452405.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3662,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3662-405716.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3663,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3663-108522.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3664,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3664-236231.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3665,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3665-131375.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3666,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3666-380868.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3667,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3667-494320.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3668,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3668-156249.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3669,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3669-539566.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3670,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 3670-140111.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3671,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3671-275888.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3672,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3672-227860.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3673,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3673-502560.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3674,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3674-145848.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3675,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3675-726691.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3676,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3676-180648.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3677,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3677-415733.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3678,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3678-711815.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3679,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3679-329413.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3680,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3680-163958.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3681,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3681-831333.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3682,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3682-767612.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3683,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3683-190423.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3684,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3684-347561.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3685,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3685-731567.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3686,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3686-389304.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3687,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3687-243766.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3688,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3688-334651.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3689,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3689-232688.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3690,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3690-638190.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3691,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3691-884273.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3692,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3692-547648.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3693,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3693-979227.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3694,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3694-223866.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3695,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3695-359539.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3696,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3696-517940.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3697,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3697-935234.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3698,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3698-960864.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3699,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3699-139686.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3700,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3700-610409.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3701,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3701-302573.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3702,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3702-574410.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3703,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3703-303770.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3704,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3704-374499.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3705,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3705-861223.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3706,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3706-404205.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3707,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3707-480278.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3708,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3708-729772.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3709,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3709-550212.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3710,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3710-895262.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3711,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3711-162331.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3712,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3712-389927.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3713,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3713-366167.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3714,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3714-120879.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3715,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3715-844481.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3716,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3716-117676.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3717,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3717-877690.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3718,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3718-670130.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3719,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3719-509645.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3720,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3720-153738.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3721,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3721-654116.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3722,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3722-561593.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3723,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3723-770149.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3724,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3724-588681.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3725,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3725-498856.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3726,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3726-579981.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3727,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3727-130879.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3728,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3728-239422.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3729,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3729-549375.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3730,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3730-404365.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3731,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3731-214601.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3732,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3732-723304.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3733,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3733-787280.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3734,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3734-119630.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3735,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3735-767363.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3736,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3736-968774.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3737,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3737-514294.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3738,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3738-210235.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3739,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3739-165169.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3740,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3740-994019.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3741,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3741-514932.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3742,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3742-620869.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3743,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3743-288491.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3744,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3744-124341.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3745,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3745-115612.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3746,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3746-808405.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3747,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3747-538245.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3748,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3748-899369.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3749,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3749-986079.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3750,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3750-877663.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3751,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3751-635555.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3752,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3752-217563.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3753,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3753-427655.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3754,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3754-753001.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3755,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3755-440672.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3756,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3756-101035.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3757,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3757-511025.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3758,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3758-942299.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3759,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3759-221281.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3760,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3760-477559.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3761,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3761-537493.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3762,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3762-708391.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3763,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3763-184736.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3764,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3764-595215.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3765,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3765-508637.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3766,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3766-678210.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3767,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3767-610686.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3768,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3768-678872.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3769,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3769-501555.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3770,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3770-833238.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3771,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3771-392536.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3772,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3772-537468.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3773,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3773-963217.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3774,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3774-449180.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3775,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3775-650536.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3776,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3776-310809.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3777,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3777-796742.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3778,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3778-724522.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3779,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3779-545456.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3780,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3780-630747.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3781,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3781-933720.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3782,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3782-472889.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3783,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3783-120571.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3784,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3784-279340.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3785,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3785-269409.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3786,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3786-845001.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3787,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3787-790209.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3788,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3788-289308.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3789,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3789-504624.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3790,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3790-971555.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3791,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3791-481915.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3792,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3792-498979.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3793,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3793-945929.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3794,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3794-198291.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3795,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3795-492649.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3796,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3796-336091.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3797,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3797-931904.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3798,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3798-517082.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3799,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3799-186807.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3800,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3800-472883.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3801,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3801-753398.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3802,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3802-283897.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3803,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3803-547725.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3804,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3804-751529.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3805,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3805-227053.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3806,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3806-983458.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3807,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3807-357128.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3808,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 3808-147279.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3809,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3809-802455.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3810,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3810-967103.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3811,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3811-114963.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3812,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3812-209089.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3813,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3813-469776.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3814,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3814-541151.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3815,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3815-369775.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3816,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3816-918136.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3817,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3817-506755.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3818,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3818-589313.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3819,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3819-487983.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3820,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3820-532911.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3821,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3821-402540.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3822,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3822-363845.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3823,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3823-391492.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3824,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 3824-865235.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3825,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3825-189471.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3826,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3826-536490.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3827,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3827-504637.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3828,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3828-149260.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3829,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3829-916893.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3830,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3830-461098.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3831,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3831-706252.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3832,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3832-154866.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3833,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3833-807665.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3834,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3834-946144.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3835,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3835-439202.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3836,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3836-834805.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3837,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3837-966670.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3838,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3838-805375.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3839,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3839-992584.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3840,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3840-671018.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3841,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3841-514216.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3842,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3842-518123.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3843,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3843-575609.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3844,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3844-814251.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3845,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3845-823251.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3846,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3846-148985.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3847,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3847-769494.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3848,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3848-466784.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3849,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3849-981446.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3850,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3850-646956.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3851,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3851-667127.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3852,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3852-420002.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3853,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3853-428500.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3854,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3854-241648.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3855,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3855-619598.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3856,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3856-181023.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3857,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3857-156764.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3858,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3858-633516.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3859,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3859-449453.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3860,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3860-590396.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3861,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3861-394245.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3862,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3862-316979.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3863,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3863-330867.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3864,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3864-325158.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3865,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3865-436301.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3866,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3866-204826.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3867,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3867-263083.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3868,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3868-913099.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3869,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3869-723254.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3870,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3870-937919.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3871,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 3871-884396.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3872,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3872-417640.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3873,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3873-215967.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3874,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3874-612418.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3875,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3875-965868.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3876,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3876-239940.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3877,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3877-864650.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3878,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3878-344228.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3879,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3879-414027.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3880,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3880-291113.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3881,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3881-128359.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3882,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3882-252498.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3883,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3883-819386.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3884,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3884-952710.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3885,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3885-508642.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3886,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3886-571053.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3887,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3887-397165.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3888,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3888-308108.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3889,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3889-511882.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3890,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3890-438441.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3891,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3891-670707.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3892,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3892-998521.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3893,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3893-253996.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3894,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3894-481927.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3895,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3895-881319.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3896,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3896-187971.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3897,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3897-559786.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3898,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3898-578585.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3899,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3899-289542.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3900,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3900-517280.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3901,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3901-929239.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3902,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3902-256036.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3903,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3903-826432.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3904,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3904-941667.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3905,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3905-778400.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3906,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3906-693274.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3907,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3907-752277.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3908,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3908-192319.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3909,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3909-650129.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3910,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3910-499038.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3911,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3911-151957.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3912,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3912-972098.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3913,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3913-392326.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3914,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3914-865780.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3915,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3915-144607.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3916,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3916-955854.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3917,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3917-604472.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3918,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3918-439032.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3919,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3919-242212.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3920,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3920-297662.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3921,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3921-441677.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3922,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3922-183144.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3923,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3923-148676.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3924,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3924-954000.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3925,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3925-588833.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3926,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3926-536546.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3927,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3927-441943.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3928,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3928-111180.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3929,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3929-368082.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3930,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3930-602559.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3931,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3931-338180.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3932,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3932-915603.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3933,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3933-507231.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3934,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3934-925989.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3935,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3935-211007.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3936,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3936-458977.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3937,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3937-854233.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3938,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3938-288266.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3939,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3939-199581.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3940,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3940-817912.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3941,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3941-184255.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3942,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3942-986949.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3943,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3943-261236.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3944,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3944-606122.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3945,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3945-975418.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3946,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3946-403257.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3947,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3947-654064.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3948,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3948-776344.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3949,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3949-414825.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3950,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3950-951286.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3951,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3951-352930.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3952,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3952-272772.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3953,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3953-652444.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3954,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3954-503560.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3955,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3955-989784.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3956,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3956-314229.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3957,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3957-367192.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3958,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3958-202659.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3959,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3959-326567.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3960,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3960-291101.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3961,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3961-842339.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3962,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3962-624883.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3963,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3963-853365.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3964,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3964-208431.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3965,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3965-656278.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3966,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3966-649090.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3967,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3967-183758.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3968,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3968-518735.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3969,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3969-773208.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3970,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3970-413599.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3971,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3971-703656.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3972,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3972-312989.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3973,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3973-752297.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3974,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3974-682079.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3975,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3975-431057.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3976,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3976-167010.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3977,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3977-115579.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3978,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3978-830575.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3979,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3979-387907.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3980,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3980-516920.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3981,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3981-960158.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3982,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3982-972925.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3983,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3983-306704.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3984,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3984-818348.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3985,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3985-301309.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3986,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3986-241301.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+3987,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3987-484487.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3988,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3988-177757.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3989,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3989-770141.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+3990,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3990-182781.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3991,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3991-489953.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3992,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3992-884415.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3993,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3993-567845.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3994,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3994-186025.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3995,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3995-839799.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3996,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 3996-144970.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+3997,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3997-535313.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+3998,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3998-887008.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+3999,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3999-239539.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4000,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4000-849882.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4001,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4001-994427.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4002,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4002-177318.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4003,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4003-878610.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4004,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4004-792146.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4005,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4005-507388.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4006,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4006-349520.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4007,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4007-773459.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4008,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4008-252857.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4009,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4009-170299.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4010,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4010-751790.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4011,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4011-362271.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4012,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4012-852279.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4013,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4013-365831.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4014,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4014-380747.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4015,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4015-567809.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4016,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4016-458594.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4017,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4017-389906.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4018,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4018-867854.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4019,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4019-292749.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4020,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4020-960881.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4021,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4021-986592.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4022,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4022-361949.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4023,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4023-525004.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4024,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4024-179206.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4025,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4025-582956.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4026,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4026-453283.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4027,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4027-360016.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4028,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4028-235262.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4029,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4029-982482.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4030,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4030-113595.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4031,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4031-957569.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4032,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4032-321541.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4033,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4033-440480.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4034,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4034-654269.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4035,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4035-657630.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4036,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4036-320087.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4037,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4037-100858.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4038,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4038-381971.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4039,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4039-366088.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4040,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4040-392607.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4041,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4041-341368.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4042,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4042-520808.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4043,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4043-982866.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4044,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 4044-393908.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4045,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4045-764013.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4046,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4046-481563.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4047,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4047-259861.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4048,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4048-665480.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4049,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4049-472344.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4050,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4050-900890.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4051,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4051-148832.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4052,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4052-222757.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4053,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4053-733588.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4054,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4054-423378.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4055,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4055-330973.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4056,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4056-224065.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4057,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4057-760650.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4058,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4058-250128.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4059,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4059-559337.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4060,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4060-179745.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4061,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4061-216515.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4062,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4062-450500.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4063,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4063-401799.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4064,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4064-866404.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4065,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4065-392944.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4066,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4066-390217.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4067,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 4067-847440.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4068,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4068-350916.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4069,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4069-909262.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4070,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4070-352908.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4071,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4071-898719.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4072,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4072-965228.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4073,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4073-997317.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4074,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4074-847562.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4075,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4075-491793.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4076,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4076-526568.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4077,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4077-251509.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4078,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4078-433689.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4079,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4079-802697.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4080,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4080-477652.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4081,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4081-237133.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4082,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4082-710825.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4083,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4083-802190.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4084,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4084-343172.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4085,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4085-344914.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4086,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4086-610534.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4087,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4087-720098.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4088,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4088-398502.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4089,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4089-851417.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4090,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4090-143625.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4091,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4091-229036.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4092,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4092-635688.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4093,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4093-692733.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4094,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4094-104120.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4095,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4095-318484.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4096,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4096-205407.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4097,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4097-858631.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4098,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4098-186969.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4099,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4099-635384.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4100,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4100-479209.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4101,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4101-842377.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4102,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4102-206775.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4103,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4103-519944.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4104,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4104-390156.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4105,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4105-518491.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4106,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4106-274221.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4107,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4107-974690.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4108,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4108-620567.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4109,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4109-644675.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4110,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4110-723050.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4111,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4111-764379.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4112,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4112-287430.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4113,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4113-830085.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4114,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4114-443279.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4115,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4115-665193.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4116,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4116-894849.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4117,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4117-491767.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4118,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4118-745923.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4119,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4119-488937.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4120,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4120-373924.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4121,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4121-419328.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4122,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4122-925396.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4123,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4123-468111.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4124,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4124-733036.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4125,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4125-313002.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4126,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4126-902635.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4127,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4127-984135.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4128,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4128-538822.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4129,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4129-496563.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4130,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4130-472025.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4131,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4131-464680.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4132,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4132-902527.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4133,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4133-635267.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4134,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4134-864687.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4135,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4135-255255.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4136,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4136-297075.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4137,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4137-419847.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4138,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4138-379370.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4139,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4139-838348.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4140,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4140-380409.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4141,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4141-676029.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4142,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4142-658262.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4143,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4143-548737.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4144,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4144-518216.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4145,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4145-445925.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4146,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4146-628924.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4147,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4147-753805.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4148,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4148-741761.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4149,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4149-978028.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4150,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 4150-361305.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4151,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4151-237739.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4152,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4152-546986.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4153,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4153-481651.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4154,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4154-463234.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4155,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4155-258130.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4156,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4156-211833.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4157,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4157-447782.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4158,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4158-458165.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4159,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4159-515220.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4160,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4160-691472.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4161,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4161-683633.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4162,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4162-599626.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4163,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4163-491538.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4164,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4164-493938.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4165,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4165-831332.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4166,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4166-128182.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4167,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4167-204778.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4168,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4168-961872.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4169,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4169-521374.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4170,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4170-182710.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4171,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4171-208680.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4172,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4172-363769.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4173,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4173-541271.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4174,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4174-932501.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4175,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4175-312259.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4176,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4176-841920.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4177,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4177-942878.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4178,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4178-386037.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4179,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4179-517306.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4180,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4180-865975.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4181,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4181-387646.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4182,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4182-488306.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4183,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4183-759344.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4184,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4184-831845.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4185,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4185-801333.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4186,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4186-545794.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4187,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4187-224398.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4188,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4188-327958.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4189,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4189-460297.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4190,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4190-993813.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4191,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4191-727261.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4192,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4192-430021.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4193,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4193-620333.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4194,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4194-439385.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4195,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4195-474130.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4196,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4196-639813.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4197,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4197-247615.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4198,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4198-152085.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4199,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4199-128396.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4200,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4200-369260.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4201,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4201-725813.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4202,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4202-705486.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4203,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4203-476944.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4204,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4204-150037.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4205,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4205-368774.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4206,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4206-625442.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4207,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4207-799995.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4208,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4208-389906.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4209,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4209-290672.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4210,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4210-579831.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4211,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4211-734739.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4212,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4212-702083.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4213,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4213-366724.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4214,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4214-402792.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4215,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4215-803331.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4216,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4216-978074.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4217,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4217-502903.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4218,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4218-327598.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4219,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4219-652228.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4220,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4220-117603.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4221,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4221-724593.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4222,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4222-172956.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4223,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4223-770664.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4224,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4224-460903.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4225,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4225-965805.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4226,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4226-241853.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4227,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4227-816615.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4228,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4228-675963.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4229,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4229-360035.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4230,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4230-253630.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4231,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4231-354714.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4232,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4232-170707.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4233,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4233-768389.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4234,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4234-529454.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4235,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4235-338252.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4236,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4236-480200.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4237,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4237-862223.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4238,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4238-742913.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4239,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4239-285553.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4240,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4240-974203.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4241,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4241-224573.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4242,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4242-720535.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4243,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4243-668846.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4244,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4244-929078.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4245,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4245-469006.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4246,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4246-562853.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4247,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4247-285469.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4248,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4248-521999.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4249,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4249-456221.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4250,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4250-657761.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4251,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4251-968473.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4252,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4252-240871.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4253,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4253-198992.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4254,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4254-397074.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4255,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4255-741630.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4256,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4256-824459.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4257,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4257-578729.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4258,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4258-982897.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4259,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4259-269438.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4260,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4260-682575.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4261,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4261-681736.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4262,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4262-482266.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4263,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4263-563623.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4264,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4264-262245.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4265,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4265-599222.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4266,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4266-983445.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4267,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4267-113537.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4268,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4268-486674.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4269,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4269-251239.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4270,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4270-545582.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4271,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4271-431200.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4272,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4272-129898.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4273,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4273-911547.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4274,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4274-896372.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4275,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4275-827842.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4276,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4276-793900.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4277,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4277-365612.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4278,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4278-391095.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4279,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4279-457927.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4280,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4280-631773.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4281,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4281-540346.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4282,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4282-667860.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4283,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4283-266100.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4284,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4284-889444.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4285,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4285-447678.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4286,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4286-397618.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4287,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4287-318931.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4288,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4288-387431.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4289,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4289-112952.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4290,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4290-436289.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4291,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4291-691701.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4292,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4292-398357.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4293,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4293-703434.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4294,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4294-254288.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4295,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4295-841591.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4296,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4296-381810.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4297,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4297-377510.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4298,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4298-833690.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4299,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4299-622827.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4300,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4300-280655.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4301,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4301-260407.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4302,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4302-755036.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4303,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4303-991309.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4304,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4304-541546.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4305,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4305-265691.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4306,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4306-634327.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4307,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4307-137570.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4308,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4308-484046.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4309,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4309-747597.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4310,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4310-107147.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4311,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4311-211446.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4312,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4312-417281.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4313,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4313-780561.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4314,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4314-626562.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4315,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4315-540180.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4316,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4316-233762.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4317,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4317-366443.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4318,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4318-949719.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4319,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4319-646428.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4320,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4320-202673.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4321,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4321-689463.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4322,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4322-953189.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4323,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4323-359959.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4324,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4324-950841.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4325,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4325-211063.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4326,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4326-903353.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4327,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4327-274570.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4328,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4328-112178.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4329,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4329-776899.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4330,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4330-323572.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4331,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4331-440216.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4332,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4332-151933.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4333,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4333-987448.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4334,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4334-770852.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4335,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4335-282460.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4336,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4336-146633.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4337,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4337-584532.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4338,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4338-217409.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4339,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4339-298882.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4340,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4340-621814.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4341,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4341-920423.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4342,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4342-989000.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4343,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4343-323231.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4344,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4344-984337.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4345,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4345-310936.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4346,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4346-563526.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4347,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4347-363945.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4348,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4348-752472.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4349,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4349-298437.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4350,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4350-141021.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4351,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4351-753821.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4352,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4352-948805.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4353,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4353-414101.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4354,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4354-952287.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4355,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4355-958188.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4356,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4356-816300.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4357,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4357-521449.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4358,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4358-114616.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4359,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4359-177888.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4360,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4360-240711.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4361,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4361-888481.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4362,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4362-104293.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4363,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4363-887724.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4364,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4364-126113.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4365,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4365-519175.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4366,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4366-513003.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4367,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4367-188860.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4368,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4368-312891.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4369,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4369-730766.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4370,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4370-634961.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4371,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4371-191801.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4372,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4372-553661.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4373,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4373-604878.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4374,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4374-911722.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4375,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4375-321420.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4376,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4376-247991.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4377,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 4377-296913.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4378,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4378-304947.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4379,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4379-980422.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4380,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4380-222632.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4381,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4381-844410.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4382,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4382-377167.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4383,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4383-873085.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4384,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4384-203090.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4385,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4385-269168.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4386,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4386-490833.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4387,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4387-233667.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4388,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4388-727212.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4389,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4389-216668.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4390,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4390-530974.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4391,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4391-860863.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4392,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4392-248817.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4393,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4393-616825.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4394,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4394-787670.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4395,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4395-713834.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4396,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4396-813655.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4397,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4397-455015.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4398,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4398-383712.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4399,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4399-590900.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4400,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4400-972233.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4401,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4401-767963.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4402,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4402-482562.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4403,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4403-268929.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4404,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4404-386211.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4405,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4405-547279.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4406,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4406-738869.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4407,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4407-227120.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4408,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4408-762832.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4409,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4409-789981.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4410,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4410-417063.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4411,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4411-652833.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4412,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4412-273332.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4413,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4413-797212.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4414,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4414-443833.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4415,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4415-872896.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4416,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4416-715181.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4417,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4417-707549.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4418,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4418-302080.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4419,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4419-744934.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4420,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4420-608026.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4421,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4421-881613.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4422,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4422-748476.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4423,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4423-385744.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4424,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4424-260532.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4425,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4425-237566.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4426,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4426-479250.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4427,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4427-731070.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4428,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4428-530563.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4429,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4429-248973.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4430,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4430-622357.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4431,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4431-191362.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4432,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4432-686717.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4433,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4433-109959.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4434,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4434-610133.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4435,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4435-254458.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4436,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4436-226268.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4437,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4437-101472.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4438,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4438-952642.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4439,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4439-708329.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4440,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4440-581104.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4441,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4441-804940.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4442,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4442-224612.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4443,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4443-350426.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4444,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4444-137847.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4445,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4445-230886.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4446,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4446-820351.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4447,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4447-346201.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4448,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4448-161548.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4449,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4449-764360.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4450,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4450-850221.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4451,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4451-954188.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4452,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4452-854649.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4453,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4453-907026.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4454,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4454-455019.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4455,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4455-681568.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4456,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4456-533661.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4457,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4457-910836.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4458,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4458-111265.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4459,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4459-839000.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4460,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4460-167282.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4461,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4461-598203.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4462,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4462-577135.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4463,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4463-529473.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4464,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4464-380777.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4465,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4465-418257.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4466,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4466-920357.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4467,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4467-225409.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4468,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4468-673231.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4469,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4469-443163.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4470,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4470-239534.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4471,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4471-228889.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4472,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4472-340628.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4473,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4473-603067.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4474,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4474-796220.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4475,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4475-123803.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4476,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4476-734489.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4477,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4477-526820.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4478,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4478-725584.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4479,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4479-916397.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4480,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4480-719195.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4481,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4481-275948.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4482,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4482-484817.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4483,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4483-372361.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4484,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4484-284099.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4485,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 4485-732925.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4486,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4486-135949.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4487,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4487-558950.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4488,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4488-715970.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4489,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4489-641342.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4490,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4490-474786.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4491,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4491-894095.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4492,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4492-683415.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4493,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4493-746058.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4494,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4494-380227.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4495,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4495-831021.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4496,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4496-498405.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4497,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4497-572403.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4498,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4498-310093.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4499,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4499-815899.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4500,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4500-141947.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4501,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4501-701653.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4502,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4502-430637.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4503,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4503-219005.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4504,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4504-482858.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4505,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4505-467416.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4506,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4506-191672.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4507,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4507-804077.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4508,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4508-203023.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4509,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4509-869059.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4510,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4510-290883.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4511,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4511-792536.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4512,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4512-583687.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4513,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4513-712211.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4514,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4514-386907.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4515,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4515-260130.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4516,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4516-752526.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4517,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4517-391546.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4518,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4518-733401.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4519,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4519-968943.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4520,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4520-406126.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4521,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4521-675621.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4522,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4522-247547.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4523,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4523-931422.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4524,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4524-885708.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4525,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4525-156672.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4526,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4526-239958.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4527,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4527-686073.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4528,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4528-149016.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4529,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4529-514834.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4530,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4530-239038.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4531,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4531-728485.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4532,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4532-618942.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4533,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4533-586074.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4534,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4534-971992.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4535,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4535-998278.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4536,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4536-605251.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4537,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4537-281373.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4538,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4538-479666.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4539,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4539-890571.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4540,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4540-218994.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4541,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4541-669840.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4542,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4542-537180.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4543,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4543-940331.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4544,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4544-851379.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4545,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4545-786823.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4546,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4546-247961.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4547,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4547-370063.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4548,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4548-242871.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4549,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4549-950711.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4550,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4550-704396.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4551,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4551-345378.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4552,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4552-720634.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4553,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4553-701872.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4554,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4554-264633.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4555,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4555-224279.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4556,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4556-725622.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4557,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4557-329774.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4558,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4558-377315.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4559,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4559-366869.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4560,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4560-575845.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4561,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4561-852810.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4562,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4562-234586.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4563,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4563-625945.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4564,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4564-825808.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4565,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4565-891996.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4566,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4566-188913.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4567,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4567-651723.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4568,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4568-194073.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4569,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4569-167272.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4570,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4570-971333.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4571,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4571-593039.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4572,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4572-945335.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4573,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4573-939254.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4574,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4574-782099.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4575,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4575-405544.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4576,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4576-876149.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4577,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4577-353785.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4578,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4578-958872.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4579,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4579-702530.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4580,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4580-273795.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4581,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4581-824176.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4582,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4582-485139.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4583,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4583-755358.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4584,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4584-630353.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4585,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4585-443373.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4586,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4586-217611.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4587,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4587-966756.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4588,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4588-297259.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4589,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4589-139095.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4590,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4590-154202.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4591,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4591-653194.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4592,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4592-998522.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4593,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4593-421795.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4594,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4594-534603.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4595,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4595-634073.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4596,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4596-522398.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4597,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4597-748596.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4598,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4598-655899.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4599,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4599-560195.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4600,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4600-700690.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4601,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 4601-361190.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4602,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4602-668427.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4603,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4603-758924.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4604,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4604-715101.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4605,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4605-897996.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4606,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4606-504180.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4607,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4607-726914.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4608,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4608-817396.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4609,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4609-525898.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4610,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4610-698172.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4611,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4611-333237.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4612,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4612-741839.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4613,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 4613-433675.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4614,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4614-988033.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4615,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4615-695268.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4616,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4616-879209.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4617,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4617-682988.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4618,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4618-267389.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4619,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4619-923098.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4620,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4620-386647.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4621,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4621-910134.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4622,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4622-144528.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4623,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4623-815383.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4624,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4624-481281.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4625,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4625-781719.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4626,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4626-830664.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4627,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4627-114427.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4628,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4628-304018.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4629,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4629-974593.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4630,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4630-856809.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4631,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4631-971510.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4632,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4632-429716.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4633,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4633-430469.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4634,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4634-883019.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4635,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4635-869566.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4636,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4636-939746.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4637,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4637-632016.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4638,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4638-542466.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4639,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4639-388203.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4640,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4640-594008.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4641,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4641-358933.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4642,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4642-337464.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4643,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4643-835495.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4644,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4644-714872.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4645,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4645-342836.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4646,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4646-227630.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4647,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4647-270661.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4648,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4648-986050.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4649,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4649-659147.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4650,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4650-798484.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4651,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4651-519248.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4652,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4652-491229.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4653,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4653-755558.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4654,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4654-192668.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4655,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 4655-241878.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4656,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4656-882876.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4657,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4657-371721.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4658,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4658-564046.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4659,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4659-871796.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4660,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4660-361704.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4661,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4661-642538.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4662,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4662-938544.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4663,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4663-979212.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4664,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4664-767719.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4665,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4665-125021.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4666,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4666-431506.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4667,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4667-867415.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4668,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4668-191882.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4669,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4669-938444.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4670,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4670-227201.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4671,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4671-671167.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4672,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4672-889710.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4673,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4673-294027.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4674,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4674-556993.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4675,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4675-696556.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4676,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4676-108800.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4677,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4677-906226.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4678,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4678-302653.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4679,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4679-934515.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4680,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4680-697724.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4681,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4681-316957.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4682,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4682-610785.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4683,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4683-586964.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4684,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4684-929837.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4685,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4685-544851.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4686,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4686-955477.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4687,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4687-391910.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4688,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4688-719638.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4689,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4689-995210.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4690,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4690-814691.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4691,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4691-309826.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4692,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4692-929212.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4693,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4693-648739.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4694,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4694-960913.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4695,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4695-820857.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4696,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4696-476207.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4697,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4697-473002.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4698,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4698-824590.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4699,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4699-816619.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4700,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4700-893641.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4701,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4701-247333.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4702,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4702-207485.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4703,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4703-405546.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4704,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4704-502383.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4705,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4705-742461.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4706,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4706-647463.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4707,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4707-534237.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4708,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4708-403900.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4709,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4709-978145.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4710,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4710-923471.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4711,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4711-193736.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4712,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4712-447339.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4713,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4713-916981.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4714,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4714-717317.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4715,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4715-651818.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4716,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4716-634331.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4717,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4717-609945.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4718,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4718-143314.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4719,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4719-548798.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4720,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4720-614401.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4721,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4721-520811.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4722,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4722-654859.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4723,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4723-864905.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4724,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4724-409031.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4725,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4725-435564.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4726,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4726-583080.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4727,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4727-412040.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4728,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4728-156511.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4729,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4729-783858.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4730,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4730-676481.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4731,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4731-543632.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4732,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4732-889288.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4733,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4733-445344.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4734,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4734-609104.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4735,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4735-273785.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4736,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4736-771354.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4737,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4737-572196.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4738,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4738-372861.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4739,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4739-243643.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4740,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4740-932109.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4741,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4741-777002.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4742,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4742-980521.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4743,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4743-950187.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4744,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4744-747695.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4745,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4745-275409.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4746,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4746-941851.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4747,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4747-990855.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4748,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4748-671734.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4749,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4749-958720.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4750,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4750-620601.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4751,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4751-254037.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4752,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4752-835877.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4753,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4753-519712.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4754,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4754-147052.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4755,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4755-163123.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4756,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4756-164328.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4757,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4757-782829.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4758,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4758-145058.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4759,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4759-926674.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4760,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4760-233016.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4761,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4761-406729.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4762,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4762-539497.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4763,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4763-139800.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4764,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4764-280646.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4765,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4765-144339.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4766,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4766-884741.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4767,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4767-627985.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4768,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4768-631293.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4769,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4769-286042.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4770,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4770-109075.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4771,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4771-187327.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4772,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4772-469808.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4773,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4773-963037.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4774,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4774-928574.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4775,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4775-798807.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4776,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4776-191505.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4777,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4777-880915.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4778,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4778-995300.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4779,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4779-955470.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4780,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4780-599762.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4781,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4781-929805.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4782,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4782-770433.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4783,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4783-248042.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4784,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4784-704603.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4785,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4785-935382.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4786,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4786-172353.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4787,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4787-647830.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4788,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4788-596216.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4789,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4789-987345.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4790,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4790-314561.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4791,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4791-982433.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4792,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4792-651504.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4793,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4793-384173.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4794,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4794-960964.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4795,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4795-759328.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4796,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4796-209220.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4797,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4797-181670.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4798,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4798-784215.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4799,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4799-782520.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4800,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4800-195798.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4801,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4801-641401.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4802,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4802-589945.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4803,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4803-141158.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4804,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4804-991676.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4805,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4805-763222.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4806,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4806-905486.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4807,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4807-259583.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4808,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4808-745905.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4809,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 4809-349292.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4810,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4810-121167.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4811,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4811-800698.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4812,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4812-116245.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4813,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4813-137949.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4814,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4814-471360.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4815,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4815-845581.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4816,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4816-834455.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4817,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4817-574690.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4818,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4818-808181.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4819,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4819-861169.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4820,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4820-550582.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4821,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4821-512742.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4822,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4822-692973.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4823,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4823-462418.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4824,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4824-378756.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4825,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4825-710647.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4826,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4826-791698.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4827,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4827-702719.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4828,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4828-395227.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4829,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4829-294751.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4830,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4830-761774.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4831,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4831-487176.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4832,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4832-444147.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4833,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4833-498256.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4834,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4834-887982.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4835,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4835-354842.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4836,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4836-955300.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4837,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4837-499720.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4838,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4838-870335.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4839,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4839-522261.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4840,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4840-397021.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4841,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4841-957717.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4842,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4842-900177.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4843,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4843-990123.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4844,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4844-488076.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4845,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4845-420452.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4846,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4846-998226.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4847,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4847-529658.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4848,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4848-450547.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4849,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4849-573083.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4850,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4850-920724.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4851,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4851-403160.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4852,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4852-819555.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4853,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4853-468194.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4854,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4854-908136.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4855,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4855-474637.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4856,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4856-226473.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4857,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4857-215927.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4858,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4858-200657.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4859,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4859-966879.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4860,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4860-511643.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4861,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4861-921890.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4862,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4862-778205.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4863,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4863-432163.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4864,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4864-135582.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4865,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4865-515006.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4866,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4866-135209.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4867,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4867-523068.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4868,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4868-762557.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4869,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4869-341515.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4870,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4870-162562.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4871,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4871-805423.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4872,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4872-366824.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4873,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4873-137093.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4874,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4874-611236.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4875,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4875-624319.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4876,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4876-456893.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4877,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4877-382403.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4878,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4878-545101.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4879,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4879-754362.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4880,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4880-730830.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4881,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4881-613419.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4882,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4882-594485.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4883,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4883-359768.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4884,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4884-786837.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4885,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4885-963381.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4886,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4886-995339.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4887,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4887-792821.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4888,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4888-781432.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4889,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4889-764184.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4890,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4890-341766.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4891,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4891-382139.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4892,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4892-183578.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4893,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4893-576979.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4894,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4894-365491.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4895,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4895-948651.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4896,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4896-289305.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4897,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4897-575380.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4898,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4898-820420.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4899,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4899-588925.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4900,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4900-401946.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4901,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4901-528864.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4902,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4902-156541.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4903,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4903-999807.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4904,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4904-484682.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4905,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4905-665400.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4906,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4906-830028.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4907,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4907-755482.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4908,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4908-139270.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4909,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4909-620750.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4910,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4910-162865.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4911,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4911-442424.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4912,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4912-649081.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4913,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4913-502692.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4914,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4914-303242.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4915,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4915-138123.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4916,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4916-901131.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4917,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4917-460950.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4918,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4918-992671.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4919,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 4919-814217.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4920,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4920-602228.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4921,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4921-489095.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4922,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4922-676588.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4923,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4923-657284.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4924,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4924-160017.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4925,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4925-295511.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4926,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4926-416393.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4927,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4927-779713.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4928,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4928-850135.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4929,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4929-584812.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4930,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4930-293154.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4931,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4931-509157.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4932,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4932-917799.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4933,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4933-783176.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4934,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4934-497722.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4935,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4935-989787.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4936,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4936-390082.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4937,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4937-603155.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4938,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4938-985311.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4939,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4939-390731.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4940,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4940-900284.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4941,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4941-286986.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4942,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4942-714828.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4943,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4943-727461.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4944,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4944-914269.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4945,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4945-742418.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4946,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4946-240156.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4947,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4947-446576.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4948,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4948-578267.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4949,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4949-853010.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4950,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4950-242574.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4951,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4951-234763.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4952,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4952-562495.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4953,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4953-330908.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4954,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4954-353610.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4955,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4955-144648.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4956,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4956-608745.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4957,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4957-295366.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4958,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4958-304484.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4959,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4959-690799.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4960,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4960-721731.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4961,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4961-533907.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4962,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4962-853628.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4963,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4963-288218.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4964,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4964-376154.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4965,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4965-589908.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4966,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4966-839613.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4967,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4967-765210.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4968,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4968-726922.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4969,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4969-338523.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4970,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4970-770745.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4971,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4971-796179.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4972,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4972-801130.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4973,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4973-712020.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4974,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4974-455463.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4975,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4975-564587.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4976,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4976-676751.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4977,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4977-228143.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4978,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4978-559270.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4979,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4979-986665.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4980,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4980-443554.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4981,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4981-469139.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4982,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4982-903592.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4983,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4983-510355.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4984,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4984-256511.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4985,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4985-620052.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+4986,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4986-651974.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4987,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4987-105142.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4988,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4988-176208.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+4989,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4989-473768.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4990,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4990-545982.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4991,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4991-643642.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4992,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4992-910176.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4993,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4993-182424.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4994,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4994-341050.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+4995,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4995-959575.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+4996,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4996-700691.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4997,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4997-735487.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4998,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4998-387435.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+4999,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4999-886624.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5000,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5000-642373.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5001,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5001-833526.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5002,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5002-895194.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5003,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5003-165410.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5004,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5004-592378.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5005,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5005-169539.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5006,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5006-142556.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5007,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5007-397619.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5008,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5008-275340.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5009,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5009-367898.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5010,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5010-347139.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5011,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5011-654262.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5012,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5012-626064.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5013,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5013-205697.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5014,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5014-521720.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5015,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5015-979432.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5016,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5016-706852.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5017,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5017-259103.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5018,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5018-403536.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5019,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5019-904039.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5020,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5020-891542.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5021,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5021-863650.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5022,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5022-952538.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5023,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5023-393423.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5024,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5024-696157.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5025,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5025-727813.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5026,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5026-761689.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5027,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5027-584155.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5028,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5028-345272.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5029,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5029-745567.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5030,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5030-504165.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5031,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5031-282012.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5032,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5032-101607.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5033,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5033-654989.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5034,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5034-424840.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5035,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5035-902245.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5036,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5036-370575.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5037,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5037-377133.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5038,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5038-829026.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5039,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5039-605964.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5040,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5040-471964.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5041,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5041-841823.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5042,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5042-785981.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5043,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5043-570065.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5044,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5044-141724.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5045,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5045-238421.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5046,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5046-879931.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5047,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5047-180810.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5048,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5048-392175.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5049,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5049-583092.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5050,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5050-586373.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5051,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5051-101389.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5052,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5052-171629.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5053,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5053-809631.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5054,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5054-662070.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5055,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5055-974097.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5056,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5056-162317.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5057,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5057-797811.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5058,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5058-879322.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5059,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5059-122722.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5060,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5060-625147.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5061,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5061-823459.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5062,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5062-964165.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5063,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5063-402243.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5064,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5064-905070.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5065,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5065-334751.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5066,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5066-486781.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5067,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5067-491141.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5068,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5068-972383.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5069,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5069-800958.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5070,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5070-773240.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5071,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5071-695968.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5072,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5072-771111.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5073,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5073-153795.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5074,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5074-938941.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5075,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5075-871440.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5076,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5076-943066.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5077,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5077-237405.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5078,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5078-552165.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5079,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5079-206017.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5080,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5080-281027.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5081,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5081-657790.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5082,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5082-461022.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5083,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5083-363621.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5084,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5084-102057.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5085,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5085-443615.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5086,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5086-872481.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5087,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5087-601241.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5088,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5088-784905.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5089,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5089-560059.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5090,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5090-457677.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5091,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5091-849820.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5092,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5092-353360.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5093,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5093-834850.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5094,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5094-403955.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5095,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5095-289216.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5096,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 5096-933832.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5097,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5097-648295.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5098,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5098-491652.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5099,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5099-101364.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5100,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5100-162922.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5101,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5101-480696.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5102,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5102-621592.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5103,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5103-172757.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5104,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5104-844193.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5105,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5105-663632.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5106,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5106-243397.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5107,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5107-270568.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5108,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5108-569329.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5109,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5109-324721.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5110,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5110-982536.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5111,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5111-443928.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5112,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5112-442760.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5113,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5113-669807.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5114,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5114-616955.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5115,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5115-549047.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5116,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5116-782040.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5117,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5117-894094.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5118,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5118-713762.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5119,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5119-105325.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5120,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5120-956589.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5121,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5121-424410.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5122,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5122-115648.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5123,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5123-556562.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5124,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5124-369740.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5125,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5125-822749.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5126,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5126-656316.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5127,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5127-222022.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5128,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5128-427380.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5129,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5129-733961.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5130,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5130-668410.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5131,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5131-310052.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5132,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5132-960431.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5133,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5133-944348.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5134,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5134-555697.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5135,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5135-434451.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5136,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5136-944878.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5137,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5137-397154.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5138,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5138-170664.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5139,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5139-646517.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5140,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5140-293559.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5141,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5141-334253.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5142,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5142-142959.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5143,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5143-987479.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5144,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5144-624474.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5145,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5145-220089.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5146,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5146-417178.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5147,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5147-918638.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5148,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5148-301388.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5149,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5149-820639.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5150,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5150-296561.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5151,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5151-482639.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5152,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5152-408563.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5153,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5153-412779.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5154,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5154-853970.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5155,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5155-368344.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5156,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5156-317019.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5157,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5157-735864.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5158,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5158-870772.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5159,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5159-982119.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5160,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5160-933273.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5161,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5161-167344.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5162,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5162-355111.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5163,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5163-976130.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5164,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5164-969515.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5165,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5165-479662.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5166,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5166-331983.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5167,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5167-682670.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5168,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5168-356935.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5169,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5169-765224.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5170,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5170-399821.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5171,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5171-806522.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5172,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5172-835996.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5173,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5173-834116.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5174,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5174-193746.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5175,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5175-892781.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5176,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5176-404412.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5177,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5177-791193.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5178,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5178-530256.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5179,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5179-487419.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5180,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5180-489361.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5181,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5181-411753.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5182,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5182-336771.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5183,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5183-233961.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5184,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5184-216458.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5185,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5185-760047.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5186,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5186-242438.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5187,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5187-145857.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5188,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5188-598823.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5189,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5189-436603.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5190,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5190-739482.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5191,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5191-840348.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5192,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5192-659098.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5193,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5193-409355.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5194,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5194-657432.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5195,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5195-151669.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5196,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5196-620483.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5197,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5197-899088.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5198,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5198-423605.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5199,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5199-820579.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5200,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5200-291286.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5201,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5201-524735.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5202,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5202-973429.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5203,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 5203-544437.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5204,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5204-320381.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5205,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5205-602952.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5206,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5206-953389.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5207,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5207-680108.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5208,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5208-894844.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5209,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5209-156485.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5210,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5210-718089.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5211,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5211-220284.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5212,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5212-382631.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5213,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5213-972427.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5214,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5214-819701.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5215,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5215-167845.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5216,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5216-692388.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5217,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5217-133133.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5218,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5218-684867.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5219,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5219-273388.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5220,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5220-202180.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5221,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5221-353365.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5222,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5222-890751.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5223,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5223-358705.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5224,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5224-507750.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5225,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5225-269149.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5226,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5226-128250.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5227,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5227-397257.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5228,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5228-402525.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5229,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5229-966974.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5230,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5230-396091.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5231,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5231-887825.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5232,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5232-876446.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5233,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5233-810809.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5234,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5234-420076.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5235,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 5235-478689.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5236,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5236-115626.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5237,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5237-223506.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5238,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5238-802096.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5239,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5239-229956.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5240,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5240-578800.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5241,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5241-339881.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5242,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5242-179661.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5243,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5243-327154.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5244,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5244-571676.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5245,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5245-978169.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5246,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5246-654608.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5247,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5247-149885.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5248,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5248-940913.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5249,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5249-353914.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5250,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5250-829364.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5251,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5251-985859.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5252,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5252-210291.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5253,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5253-531962.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5254,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5254-366363.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5255,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5255-810870.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5256,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5256-674383.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5257,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5257-609402.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5258,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5258-502886.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5259,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5259-178722.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5260,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5260-897749.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5261,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5261-188832.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5262,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5262-611714.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5263,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5263-195428.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5264,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5264-151062.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5265,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5265-218104.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5266,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5266-210996.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5267,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5267-976487.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5268,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5268-684614.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5269,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5269-453638.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5270,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5270-736402.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5271,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5271-909380.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5272,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5272-671385.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5273,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5273-895538.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5274,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5274-568498.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5275,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5275-220335.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5276,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5276-928880.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5277,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5277-903205.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5278,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5278-275461.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5279,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5279-485027.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5280,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5280-198066.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5281,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5281-586575.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5282,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5282-348957.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5283,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5283-702497.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5284,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5284-477037.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5285,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5285-169195.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5286,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5286-943880.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5287,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5287-122143.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5288,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5288-907350.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5289,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5289-870743.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5290,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5290-211821.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5291,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5291-105357.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5292,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5292-457081.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5293,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5293-457643.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5294,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5294-753251.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5295,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5295-849267.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5296,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5296-171573.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5297,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5297-428146.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5298,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5298-489707.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5299,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5299-160178.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5300,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5300-708558.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5301,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5301-586601.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5302,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5302-624436.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5303,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5303-189631.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5304,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5304-661691.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5305,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5305-385821.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5306,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5306-102344.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5307,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 5307-262613.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5308,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5308-193255.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5309,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5309-801950.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5310,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5310-692348.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5311,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5311-930214.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5312,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5312-367374.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5313,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5313-387916.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5314,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5314-614639.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5315,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5315-985197.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5316,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5316-292883.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5317,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5317-833174.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5318,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5318-581361.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5319,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5319-784112.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5320,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5320-115879.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5321,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5321-985085.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5322,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5322-597447.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5323,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5323-301617.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5324,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5324-494047.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5325,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5325-230480.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5326,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5326-534858.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5327,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5327-685965.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5328,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5328-490013.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5329,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5329-561873.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5330,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5330-158614.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5331,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5331-620053.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5332,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5332-192281.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5333,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5333-702234.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5334,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5334-877074.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5335,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5335-270680.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5336,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5336-852545.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5337,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5337-725803.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5338,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5338-473905.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5339,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5339-393283.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5340,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5340-784014.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5341,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5341-185225.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5342,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5342-376080.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5343,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5343-239036.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5344,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5344-530441.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5345,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5345-159150.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5346,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5346-385197.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5347,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5347-421277.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5348,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5348-933886.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5349,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5349-208397.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5350,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5350-471876.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5351,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5351-625105.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5352,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5352-435284.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5353,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5353-662380.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5354,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5354-609797.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5355,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5355-526304.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5356,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5356-441009.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5357,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5357-855154.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5358,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5358-307339.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5359,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5359-760513.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5360,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5360-474040.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5361,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5361-865699.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5362,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5362-661294.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5363,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5363-556997.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5364,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5364-262744.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5365,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5365-608982.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5366,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5366-135312.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5367,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5367-158702.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5368,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5368-752651.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5369,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5369-741905.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5370,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5370-805831.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5371,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5371-831556.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5372,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5372-463652.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5373,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5373-439729.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5374,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5374-477462.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5375,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5375-225442.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5376,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5376-459155.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5377,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5377-466200.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5378,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5378-145145.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5379,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5379-472631.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5380,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5380-914161.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5381,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5381-494451.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5382,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5382-592543.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5383,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5383-857658.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5384,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5384-666798.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5385,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5385-534970.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5386,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5386-738209.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5387,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5387-596708.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5388,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5388-632926.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5389,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5389-147973.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5390,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5390-224774.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5391,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5391-967176.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5392,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5392-639596.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5393,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5393-251767.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5394,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5394-666093.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5395,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5395-545530.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5396,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5396-727608.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5397,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5397-417527.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5398,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5398-707888.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5399,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5399-854835.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5400,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5400-812268.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5401,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5401-234656.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5402,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5402-648075.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5403,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5403-157931.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5404,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5404-513822.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5405,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5405-811283.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5406,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5406-986045.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5407,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5407-609338.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5408,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5408-295603.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5409,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5409-708033.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5410,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5410-768121.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5411,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5411-955714.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5412,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5412-270927.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5413,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5413-448539.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5414,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5414-585127.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5415,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5415-131575.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5416,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5416-718178.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5417,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5417-949789.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5418,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5418-920123.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5419,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5419-577323.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5420,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5420-675313.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5421,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5421-536053.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5422,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5422-131967.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5423,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5423-587981.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5424,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5424-926213.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5425,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5425-827159.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5426,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5426-116651.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5427,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5427-944207.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5428,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5428-638689.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5429,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5429-879704.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5430,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5430-339829.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5431,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5431-172234.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5432,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5432-509095.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5433,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5433-678988.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5434,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5434-560508.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5435,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5435-572175.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5436,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5436-871837.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5437,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5437-797181.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5438,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5438-101483.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5439,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5439-880557.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5440,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5440-546951.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5441,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5441-894214.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5442,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5442-669940.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5443,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5443-945887.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5444,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5444-740260.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5445,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5445-149705.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5446,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5446-962714.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5447,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5447-686564.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5448,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5448-931786.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5449,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5449-490565.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5450,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5450-686889.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5451,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5451-379000.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5452,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5452-110755.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5453,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5453-305920.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5454,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5454-488284.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5455,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5455-301310.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5456,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5456-682604.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5457,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5457-528611.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5458,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5458-839508.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5459,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5459-991390.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5460,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5460-457982.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5461,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5461-215568.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5462,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5462-986963.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5463,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5463-122815.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5464,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5464-266571.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5465,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5465-607947.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5466,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5466-924759.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5467,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5467-128798.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5468,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5468-149586.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5469,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5469-733400.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5470,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5470-680233.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5471,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5471-661090.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5472,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5472-475450.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5473,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5473-217850.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5474,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5474-844944.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5475,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5475-224741.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5476,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5476-958631.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5477,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5477-598481.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5478,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5478-811570.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5479,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5479-956639.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5480,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5480-828356.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5481,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5481-863856.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5482,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5482-465013.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5483,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5483-757395.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5484,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5484-729151.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5485,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5485-303324.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5486,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5486-932084.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5487,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5487-646640.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5488,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5488-223987.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5489,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5489-834072.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5490,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5490-789691.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5491,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5491-352664.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5492,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5492-994498.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5493,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5493-423039.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5494,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5494-684019.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5495,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5495-401204.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5496,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5496-179675.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5497,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5497-657453.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5498,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5498-500393.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5499,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5499-389352.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5500,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5500-766496.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5501,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5501-498184.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5502,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5502-115421.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5503,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5503-545015.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5504,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5504-661572.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5505,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5505-684221.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5506,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5506-788939.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5507,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5507-557070.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5508,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5508-463103.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5509,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5509-360483.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5510,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5510-489469.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5511,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5511-842258.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5512,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5512-279344.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5513,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5513-787719.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5514,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5514-710224.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5515,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5515-911261.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5516,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5516-430533.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5517,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5517-596637.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5518,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5518-914922.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5519,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5519-440165.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5520,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5520-544298.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5521,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5521-226109.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5522,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5522-959836.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5523,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5523-197470.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5524,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5524-770943.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5525,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5525-142205.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5526,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5526-839967.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5527,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5527-683319.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5528,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5528-548160.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5529,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5529-694759.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5530,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5530-449646.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5531,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5531-280197.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5532,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5532-920304.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5533,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5533-673118.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5534,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5534-332753.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5535,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5535-244683.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5536,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5536-852179.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5537,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5537-696228.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5538,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5538-945733.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5539,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5539-723548.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5540,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5540-182644.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5541,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5541-262410.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5542,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5542-616599.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5543,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5543-963569.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5544,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5544-781715.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5545,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5545-902712.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5546,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5546-123870.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5547,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5547-607112.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5548,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5548-426303.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5549,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5549-531646.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5550,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5550-783126.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5551,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5551-840692.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5552,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5552-835296.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5553,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5553-158727.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5554,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5554-243673.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5555,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5555-375007.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5556,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5556-524351.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5557,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5557-441478.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5558,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5558-614799.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5559,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5559-788634.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5560,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5560-129193.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5561,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5561-574135.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5562,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5562-123218.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5563,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5563-337318.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5564,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5564-948124.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5565,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5565-250137.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5566,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5566-273304.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5567,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5567-473208.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5568,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5568-521543.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5569,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5569-874381.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5570,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5570-746267.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5571,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5571-907500.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5572,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5572-817511.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5573,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5573-619166.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5574,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5574-837602.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5575,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5575-972613.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5576,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5576-744222.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5577,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5577-951460.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5578,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5578-122427.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5579,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5579-959228.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5580,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5580-533937.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5581,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5581-892362.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5582,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5582-644957.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5583,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5583-218127.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5584,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5584-330768.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5585,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5585-958994.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5586,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5586-315147.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5587,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5587-434738.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5588,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5588-977496.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5589,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5589-569436.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5590,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5590-583075.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5591,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5591-149342.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5592,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5592-715620.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5593,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5593-630218.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5594,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5594-526529.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5595,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5595-717571.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5596,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5596-161604.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5597,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5597-210230.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5598,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5598-278618.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5599,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5599-735736.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5600,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5600-990523.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5601,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5601-114047.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5602,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5602-845383.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5603,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5603-790376.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5604,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5604-398212.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5605,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5605-519586.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5606,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5606-262035.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5607,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5607-184862.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5608,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5608-713424.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5609,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5609-151426.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5610,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5610-691333.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5611,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5611-473329.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5612,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5612-335546.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5613,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5613-584982.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5614,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5614-489539.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5615,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5615-235604.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5616,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5616-709997.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5617,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5617-309518.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5618,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5618-225293.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5619,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5619-940386.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5620,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5620-252324.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5621,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5621-906409.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5622,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5622-892233.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5623,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5623-839246.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5624,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5624-528176.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5625,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5625-263373.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5626,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5626-438431.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5627,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5627-611214.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5628,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5628-431576.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5629,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5629-538339.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5630,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5630-863297.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5631,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5631-366801.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5632,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5632-843281.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5633,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5633-740867.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5634,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5634-486780.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5635,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5635-894765.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5636,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5636-944130.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5637,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5637-413026.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5638,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5638-693182.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5639,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5639-790195.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5640,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5640-390534.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5641,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5641-418708.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5642,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5642-818214.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5643,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5643-638377.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5644,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5644-894880.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5645,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5645-956013.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5646,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5646-679327.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5647,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5647-380815.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5648,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5648-336954.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5649,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5649-410061.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5650,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5650-464685.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5651,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5651-660043.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5652,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5652-453626.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5653,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5653-580624.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5654,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5654-787669.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5655,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5655-195018.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5656,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5656-861094.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5657,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5657-387506.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5658,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5658-493438.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5659,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5659-210479.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5660,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5660-553720.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5661,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5661-556067.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5662,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5662-936780.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5663,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5663-568476.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5664,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5664-990146.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5665,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5665-119817.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5666,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5666-821642.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5667,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5667-219700.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5668,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5668-580621.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5669,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5669-584968.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5670,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5670-631959.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5671,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5671-105951.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5672,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5672-870855.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5673,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5673-441520.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5674,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5674-194668.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5675,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5675-511030.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5676,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5676-691425.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5677,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5677-352506.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5678,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5678-370292.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5679,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5679-415210.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5680,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5680-604947.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5681,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5681-788863.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5682,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5682-847334.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5683,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5683-448510.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5684,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5684-697120.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5685,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5685-798884.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5686,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5686-233871.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5687,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5687-986764.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5688,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5688-747251.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5689,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5689-478654.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5690,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5690-767764.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5691,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5691-730174.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5692,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5692-316438.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5693,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5693-585070.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5694,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5694-176668.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5695,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5695-724133.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5696,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5696-864486.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5697,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5697-807142.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5698,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5698-563734.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5699,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5699-818162.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5700,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5700-969603.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5701,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5701-846231.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5702,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5702-726729.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5703,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5703-140233.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5704,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5704-966120.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5705,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5705-716592.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5706,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5706-670145.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5707,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5707-614275.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5708,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5708-676357.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5709,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5709-515789.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5710,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5710-701068.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5711,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5711-903017.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5712,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5712-903748.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5713,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5713-321193.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5714,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5714-965038.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5715,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5715-130357.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5716,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5716-858061.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5717,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5717-172884.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5718,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5718-828828.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5719,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5719-639543.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5720,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5720-736218.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5721,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5721-261886.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5722,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5722-124358.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5723,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5723-789307.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5724,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5724-953225.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5725,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5725-429164.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5726,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5726-268825.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5727,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5727-790112.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5728,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5728-196857.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5729,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5729-129311.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5730,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5730-484522.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5731,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5731-189802.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5732,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5732-255061.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5733,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5733-890617.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5734,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5734-502500.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5735,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5735-671931.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5736,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5736-588405.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5737,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5737-736072.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5738,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5738-594072.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5739,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5739-108939.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5740,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5740-834144.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5741,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5741-926942.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5742,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5742-347884.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5743,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5743-174375.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5744,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5744-687284.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5745,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5745-739436.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5746,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5746-203597.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5747,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5747-916395.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5748,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5748-862083.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5749,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5749-133364.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5750,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5750-645429.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5751,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5751-841418.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5752,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5752-999331.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5753,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5753-339703.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5754,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5754-630245.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5755,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5755-965401.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5756,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5756-409014.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5757,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5757-645978.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5758,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5758-608475.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5759,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5759-333284.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5760,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5760-865019.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5761,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5761-833314.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5762,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5762-701267.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5763,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5763-552630.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5764,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5764-489057.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5765,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5765-501714.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5766,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5766-154776.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5767,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5767-110478.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5768,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5768-844120.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5769,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5769-472495.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5770,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5770-897466.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5771,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5771-626152.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5772,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5772-448473.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5773,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5773-311806.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5774,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5774-483800.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5775,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5775-997368.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5776,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5776-620466.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5777,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5777-662217.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5778,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5778-649081.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5779,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5779-290088.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5780,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5780-244334.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5781,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5781-338977.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5782,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5782-808062.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5783,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5783-789335.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5784,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5784-332012.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5785,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5785-327938.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5786,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5786-772962.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5787,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5787-621342.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5788,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5788-401144.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5789,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5789-215092.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5790,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5790-515722.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5791,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5791-624050.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5792,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5792-728224.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5793,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5793-515826.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5794,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5794-450326.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5795,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5795-323896.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5796,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5796-655142.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5797,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5797-150808.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5798,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5798-688337.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5799,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5799-638761.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5800,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5800-233538.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5801,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5801-512544.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5802,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5802-337957.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5803,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5803-890355.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5804,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5804-691025.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5805,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5805-903322.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5806,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5806-781604.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5807,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5807-913043.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5808,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5808-776213.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5809,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5809-399475.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5810,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5810-197199.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5811,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5811-655555.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5812,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5812-847101.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5813,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5813-902086.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5814,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5814-388446.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5815,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5815-475959.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5816,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5816-105359.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5817,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5817-777891.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5818,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5818-924852.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5819,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5819-281735.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5820,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5820-808234.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5821,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5821-601022.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5822,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5822-660950.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5823,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5823-470963.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5824,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5824-640356.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5825,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5825-333806.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5826,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5826-488191.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5827,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5827-445109.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5828,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5828-755082.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5829,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5829-843221.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5830,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5830-882021.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5831,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5831-221213.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5832,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5832-662138.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5833,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5833-703048.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5834,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5834-579000.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5835,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5835-436165.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5836,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5836-857518.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5837,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5837-473095.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5838,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5838-445446.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5839,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5839-627033.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5840,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5840-583932.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5841,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5841-204420.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5842,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5842-878219.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5843,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5843-236260.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5844,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5844-192840.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5845,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5845-549559.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5846,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5846-975423.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5847,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5847-987977.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5848,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5848-409226.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5849,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5849-955643.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5850,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5850-461448.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5851,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5851-105105.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5852,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5852-845558.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5853,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5853-802033.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5854,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5854-712857.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5855,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5855-624033.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5856,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5856-741988.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5857,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5857-564736.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5858,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5858-849847.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5859,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5859-313694.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5860,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5860-634142.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5861,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5861-271068.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5862,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5862-167846.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5863,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5863-479825.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5864,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5864-260821.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5865,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5865-219998.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5866,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5866-410438.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5867,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5867-469080.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5868,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5868-787903.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5869,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5869-220903.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5870,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5870-374638.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5871,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 5871-327329.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5872,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5872-608973.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5873,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5873-522675.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5874,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5874-601262.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5875,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5875-165960.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5876,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5876-377500.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5877,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5877-994729.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5878,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5878-269028.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5879,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5879-437584.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5880,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5880-545840.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5881,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5881-840915.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5882,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5882-963030.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5883,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5883-666000.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5884,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5884-505150.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5885,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5885-861298.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5886,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5886-213084.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5887,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5887-867769.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5888,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5888-368329.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5889,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5889-100892.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5890,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5890-446463.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5891,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5891-429460.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5892,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5892-364015.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5893,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5893-353350.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5894,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5894-298696.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5895,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5895-512309.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5896,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5896-433139.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5897,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5897-803134.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5898,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5898-903312.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5899,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5899-795742.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5900,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5900-358115.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5901,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5901-244188.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5902,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5902-475112.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5903,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5903-307483.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5904,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5904-915743.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5905,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5905-392288.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5906,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5906-749657.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5907,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5907-177529.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5908,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5908-307091.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5909,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5909-730395.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5910,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5910-763245.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5911,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5911-109970.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5912,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5912-110943.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5913,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5913-966203.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5914,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5914-541904.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5915,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5915-328568.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5916,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5916-742818.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5917,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5917-713769.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5918,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5918-322157.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5919,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5919-242692.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5920,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5920-907250.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5921,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5921-779973.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5922,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5922-370434.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5923,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5923-459588.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5924,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5924-106859.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5925,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5925-507230.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5926,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5926-408019.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5927,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5927-433956.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5928,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5928-197431.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5929,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5929-462793.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5930,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5930-766670.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5931,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5931-160409.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5932,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5932-603747.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5933,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5933-764213.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5934,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5934-776937.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5935,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5935-530689.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5936,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5936-443167.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5937,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5937-612681.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5938,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5938-317239.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5939,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5939-986850.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5940,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5940-341405.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5941,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5941-353332.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5942,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5942-360229.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5943,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5943-696965.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5944,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5944-644718.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5945,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5945-545782.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5946,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5946-495121.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5947,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5947-819216.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5948,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5948-577569.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5949,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5949-439245.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5950,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5950-280215.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5951,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5951-926660.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5952,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5952-975000.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5953,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5953-415004.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5954,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5954-722484.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5955,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5955-796833.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5956,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5956-916877.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5957,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5957-956222.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5958,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5958-574260.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5959,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5959-169204.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5960,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5960-506040.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5961,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5961-723957.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5962,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5962-570237.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5963,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5963-319261.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5964,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5964-623906.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5965,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5965-441894.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5966,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5966-789433.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5967,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5967-733456.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5968,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5968-577086.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5969,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5969-469767.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5970,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5970-805610.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5971,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5971-802326.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5972,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5972-312638.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5973,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5973-530550.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5974,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5974-139613.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5975,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5975-320232.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5976,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5976-920816.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5977,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5977-787334.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5978,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5978-214527.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5979,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5979-564872.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5980,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5980-439989.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5981,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 5981-796316.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5982,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5982-896085.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5983,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5983-379760.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+5984,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5984-836649.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5985,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5985-187908.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5986,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5986-163631.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5987,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5987-904509.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5988,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5988-352277.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5989,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5989-535089.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+5990,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5990-277067.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5991,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5991-907588.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5992,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5992-447198.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5993,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5993-975103.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5994,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5994-712016.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+5995,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5995-367573.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5996,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5996-609058.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+5997,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5997-488886.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5998,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5998-803292.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+5999,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5999-775197.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6000,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6000-635902.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6001,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6001-939039.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6002,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6002-504792.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6003,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6003-581041.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6004,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6004-986107.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6005,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6005-979510.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6006,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6006-791812.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6007,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6007-947271.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6008,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6008-620423.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6009,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6009-832689.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6010,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6010-682719.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6011,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6011-688511.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6012,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6012-378538.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6013,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6013-911382.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6014,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6014-527293.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6015,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6015-308626.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6016,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6016-385541.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6017,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6017-498777.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6018,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6018-220868.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6019,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6019-281489.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6020,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6020-242070.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6021,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6021-206943.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6022,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6022-107861.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6023,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6023-477934.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6024,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6024-347965.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6025,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6025-340276.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6026,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6026-338304.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6027,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6027-910208.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6028,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6028-633455.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6029,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6029-646780.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6030,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6030-933944.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6031,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6031-233405.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6032,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6032-350085.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6033,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6033-746674.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6034,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6034-753550.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6035,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6035-881099.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6036,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6036-557967.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6037,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 6037-859027.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6038,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6038-579509.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6039,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6039-803563.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6040,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6040-237080.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6041,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6041-949888.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6042,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6042-536041.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6043,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6043-446217.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6044,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6044-609352.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6045,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6045-442577.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6046,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6046-374853.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6047,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6047-833094.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6048,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6048-129954.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6049,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6049-400829.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6050,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6050-940066.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6051,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6051-579050.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6052,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6052-326022.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6053,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6053-315852.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6054,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6054-692402.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6055,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6055-609625.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6056,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6056-704126.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6057,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6057-303528.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6058,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6058-724984.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6059,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6059-772254.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6060,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6060-596733.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6061,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6061-707366.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6062,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6062-872676.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6063,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6063-124484.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6064,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6064-155461.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6065,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6065-911449.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6066,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6066-372668.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6067,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6067-969823.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6068,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6068-708601.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6069,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6069-207308.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6070,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6070-964965.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6071,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6071-470143.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6072,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6072-691065.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6073,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6073-283950.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6074,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6074-640364.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6075,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6075-963894.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6076,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6076-370010.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6077,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6077-916245.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6078,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6078-392104.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6079,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6079-606278.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6080,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6080-587462.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6081,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6081-186851.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6082,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6082-981598.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6083,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6083-616685.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6084,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6084-787159.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6085,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6085-857156.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6086,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6086-248063.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6087,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6087-844879.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6088,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6088-711731.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6089,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6089-315342.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6090,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6090-768076.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6091,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6091-323354.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6092,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6092-474926.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6093,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6093-550553.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6094,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6094-103794.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6095,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6095-854086.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6096,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6096-570628.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6097,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6097-255147.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6098,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6098-927889.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6099,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6099-289662.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6100,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6100-806238.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6101,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6101-890358.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6102,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6102-401373.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6103,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6103-220812.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6104,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6104-866968.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6105,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6105-217789.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6106,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6106-872329.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6107,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6107-669692.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6108,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6108-762445.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6109,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6109-953170.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6110,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6110-728794.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6111,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6111-842954.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6112,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6112-921901.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6113,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6113-393020.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6114,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6114-925740.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6115,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6115-750657.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6116,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6116-391259.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6117,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6117-634578.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6118,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6118-631701.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6119,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6119-824531.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6120,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6120-796137.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6121,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6121-767572.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6122,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6122-817636.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6123,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6123-469471.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6124,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6124-112299.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6125,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6125-370866.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6126,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6126-628903.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6127,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6127-393119.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6128,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6128-248138.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6129,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6129-643083.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6130,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6130-530213.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6131,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6131-639620.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6132,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6132-329541.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6133,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6133-308207.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6134,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6134-547466.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6135,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6135-969715.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6136,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6136-125466.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6137,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6137-308366.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6138,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6138-217236.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6139,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6139-835833.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6140,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6140-528362.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6141,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6141-356558.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6142,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6142-631153.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6143,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6143-186152.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6144,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6144-263716.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6145,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6145-124651.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6146,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6146-508098.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6147,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6147-313075.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6148,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6148-492070.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6149,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6149-932826.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6150,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6150-562780.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6151,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6151-409292.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6152,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6152-680264.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6153,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6153-608429.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6154,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6154-847421.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6155,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6155-750215.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6156,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6156-701155.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6157,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6157-233241.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6158,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6158-364492.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6159,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6159-392655.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6160,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6160-849254.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6161,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6161-860769.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6162,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6162-136555.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6163,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6163-381232.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6164,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 6164-693849.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6165,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6165-593064.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6166,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6166-985135.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6167,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6167-573341.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6168,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6168-407079.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6169,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6169-182666.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6170,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6170-940678.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6171,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6171-487809.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6172,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6172-687454.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6173,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6173-162554.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6174,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6174-613297.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6175,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6175-716521.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6176,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6176-599594.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6177,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6177-146725.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6178,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6178-899578.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6179,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6179-547233.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6180,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6180-132032.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6181,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6181-167413.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6182,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6182-968515.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6183,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6183-643827.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6184,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6184-464599.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6185,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6185-483854.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6186,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6186-200518.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6187,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6187-189925.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6188,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6188-111576.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6189,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6189-786974.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6190,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6190-338379.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6191,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6191-197876.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6192,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6192-591852.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6193,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6193-413790.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6194,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6194-679898.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6195,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6195-707445.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6196,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6196-979709.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6197,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6197-589304.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6198,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6198-176453.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6199,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6199-110392.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6200,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6200-134787.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6201,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6201-933675.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6202,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6202-990835.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6203,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6203-956439.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6204,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6204-717859.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6205,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6205-499479.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6206,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6206-138136.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6207,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6207-116459.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6208,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6208-807020.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6209,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6209-232078.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6210,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6210-457145.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6211,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6211-909883.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6212,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6212-286242.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6213,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6213-777502.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6214,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6214-192495.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6215,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6215-347377.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6216,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6216-741636.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6217,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6217-981768.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6218,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6218-860718.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6219,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6219-881189.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6220,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6220-275100.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6221,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6221-328019.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6222,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6222-987709.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6223,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6223-840237.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6224,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6224-335294.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6225,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6225-361803.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6226,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6226-419488.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6227,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6227-505803.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6228,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6228-186108.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6229,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6229-243439.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6230,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6230-398662.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6231,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6231-362705.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6232,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6232-161240.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6233,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6233-296571.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6234,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6234-874248.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6235,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6235-821116.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6236,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6236-709075.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6237,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6237-550222.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6238,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6238-728102.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6239,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6239-275361.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6240,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6240-460512.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6241,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6241-818375.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6242,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6242-698263.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6243,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6243-478674.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6244,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6244-590884.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6245,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6245-314804.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6246,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6246-859656.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6247,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6247-697811.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6248,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6248-437163.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6249,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6249-191531.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6250,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6250-305671.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6251,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6251-590336.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6252,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6252-547446.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6253,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6253-423635.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6254,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6254-822178.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6255,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6255-689622.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6256,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6256-494754.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6257,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6257-654283.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6258,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6258-496042.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6259,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6259-845690.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6260,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6260-376905.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6261,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6261-265831.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6262,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6262-785945.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6263,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6263-443463.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6264,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6264-694459.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6265,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6265-754401.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6266,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6266-813286.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6267,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6267-691239.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6268,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6268-772982.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6269,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6269-502169.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6270,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6270-516614.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6271,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6271-400904.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6272,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6272-716951.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6273,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6273-427222.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6274,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6274-747062.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6275,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6275-904054.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6276,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6276-251661.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6277,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6277-614164.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6278,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6278-328675.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6279,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6279-715655.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6280,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6280-715098.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6281,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6281-358746.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6282,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6282-284099.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6283,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6283-405317.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6284,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6284-895715.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6285,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6285-393173.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6286,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6286-278962.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6287,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6287-154082.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6288,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6288-269045.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6289,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6289-915114.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6290,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6290-941677.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6291,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6291-403653.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6292,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6292-965924.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6293,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6293-400895.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6294,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6294-220976.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6295,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6295-546783.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6296,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6296-360607.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6297,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6297-407851.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6298,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6298-718366.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6299,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6299-535148.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6300,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6300-168630.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6301,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6301-142011.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6302,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6302-613870.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6303,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6303-526297.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6304,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6304-287759.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6305,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6305-767508.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6306,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6306-451507.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6307,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6307-507183.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6308,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6308-310133.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6309,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6309-484225.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6310,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6310-840864.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6311,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6311-243584.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6312,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6312-141351.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6313,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6313-289569.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6314,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6314-987874.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6315,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6315-765539.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6316,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6316-155439.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6317,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6317-955210.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6318,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6318-115429.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6319,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6319-860297.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6320,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6320-428777.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6321,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6321-299958.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6322,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6322-741429.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6323,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6323-221805.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6324,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6324-298157.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6325,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6325-827400.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6326,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6326-361519.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6327,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6327-917630.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6328,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6328-855914.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6329,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6329-448979.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6330,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6330-856802.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6331,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6331-939215.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6332,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6332-949807.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6333,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6333-636429.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6334,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6334-868385.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6335,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6335-799005.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6336,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6336-969587.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6337,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6337-827262.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6338,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6338-874164.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6339,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6339-965708.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6340,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6340-990383.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6341,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6341-143090.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6342,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 6342-836403.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6343,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6343-605160.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6344,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6344-214103.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6345,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6345-419428.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6346,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6346-711561.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6347,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6347-393709.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6348,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6348-597854.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6349,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6349-667407.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6350,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6350-336586.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6351,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6351-873092.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6352,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6352-599577.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6353,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6353-475142.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6354,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6354-401805.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6355,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6355-702111.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6356,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6356-675080.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6357,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6357-865470.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6358,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6358-991571.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6359,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6359-532136.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6360,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6360-900794.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6361,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6361-509260.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6362,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6362-590629.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6363,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6363-695315.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6364,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6364-290684.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6365,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6365-321211.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6366,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6366-739276.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6367,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6367-273897.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6368,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6368-348305.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6369,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6369-403164.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6370,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6370-704039.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6371,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6371-511495.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6372,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6372-567074.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6373,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6373-993003.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6374,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6374-419965.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6375,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6375-105493.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6376,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6376-114451.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6377,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6377-587171.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6378,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6378-713383.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6379,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6379-465995.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6380,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6380-458160.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6381,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6381-869403.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6382,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6382-246021.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6383,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6383-155194.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6384,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6384-623526.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6385,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6385-121655.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6386,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6386-653465.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6387,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6387-321225.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6388,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6388-645434.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6389,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6389-429279.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6390,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6390-808012.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6391,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6391-888133.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6392,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 6392-209092.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6393,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6393-334605.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6394,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6394-401348.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6395,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6395-148232.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6396,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6396-985797.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6397,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6397-167876.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6398,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6398-392398.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6399,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6399-926709.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6400,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6400-251670.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6401,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6401-968445.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6402,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6402-451762.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6403,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6403-920995.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6404,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6404-348759.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6405,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6405-979837.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6406,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6406-930773.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6407,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6407-442318.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6408,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6408-950962.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6409,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6409-400689.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6410,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6410-415109.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6411,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6411-536337.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6412,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6412-936648.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6413,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6413-594585.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6414,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6414-631351.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6415,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6415-865102.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6416,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6416-166313.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6417,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6417-387759.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6418,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6418-891842.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6419,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6419-141427.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6420,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6420-185709.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6421,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6421-143501.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6422,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6422-237768.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6423,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6423-490648.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6424,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6424-255929.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6425,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6425-730979.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6426,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6426-174845.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6427,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6427-427629.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6428,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6428-505012.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6429,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6429-494828.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6430,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6430-903012.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6431,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6431-947017.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6432,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6432-358520.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6433,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6433-228703.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6434,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6434-611423.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6435,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6435-838693.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6436,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6436-378172.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6437,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6437-590715.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6438,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6438-343220.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6439,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6439-458617.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6440,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6440-461760.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6441,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6441-750775.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6442,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6442-431383.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6443,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6443-589221.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6444,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6444-221957.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6445,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6445-471453.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6446,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6446-768922.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6447,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6447-905156.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6448,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6448-333143.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6449,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6449-173768.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6450,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6450-470027.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6451,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6451-294606.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6452,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6452-672818.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6453,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6453-693333.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6454,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6454-857874.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6455,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6455-544802.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6456,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6456-585529.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6457,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6457-435212.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6458,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6458-652611.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6459,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6459-955799.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6460,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6460-206813.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6461,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6461-782364.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6462,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6462-830002.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6463,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6463-236696.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6464,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6464-405557.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6465,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6465-976851.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6466,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6466-132846.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6467,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6467-893434.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6468,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6468-966166.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6469,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6469-749240.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6470,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6470-708768.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6471,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6471-666798.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6472,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6472-109923.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6473,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6473-185108.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6474,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6474-773902.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6475,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6475-461482.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6476,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6476-391736.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6477,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6477-206957.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6478,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6478-438885.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6479,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6479-628134.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6480,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6480-337553.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6481,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6481-689570.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6482,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6482-192202.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6483,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6483-811813.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6484,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6484-630727.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6485,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6485-282913.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6486,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6486-645155.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6487,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6487-172485.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6488,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6488-483090.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6489,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6489-148948.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6490,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6490-119558.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6491,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6491-428513.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6492,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6492-297912.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6493,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6493-262201.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6494,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6494-714656.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6495,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6495-340810.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6496,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6496-990156.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6497,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6497-192429.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6498,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6498-874752.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6499,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6499-991207.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6500,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 6500-804019.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6501,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6501-597135.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6502,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6502-724757.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6503,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6503-307210.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6504,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6504-177368.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6505,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6505-180510.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6506,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6506-884043.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6507,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6507-357022.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6508,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6508-418597.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6509,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6509-673474.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6510,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6510-628054.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6511,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6511-918475.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6512,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6512-823629.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6513,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6513-624832.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6514,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6514-495429.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6515,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6515-478688.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6516,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6516-487755.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6517,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6517-920968.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6518,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6518-896372.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6519,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6519-692074.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6520,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6520-621881.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6521,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6521-711867.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6522,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6522-618100.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6523,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6523-647978.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6524,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6524-932052.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6525,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6525-412845.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6526,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6526-838446.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6527,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6527-344204.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6528,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6528-400947.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6529,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6529-266313.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6530,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6530-977360.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6531,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6531-819306.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6532,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6532-627565.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6533,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6533-835512.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6534,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6534-871087.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6535,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6535-360699.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6536,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6536-770129.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6537,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6537-570838.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6538,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6538-343094.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6539,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6539-843698.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6540,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6540-770153.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6541,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6541-843744.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6542,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6542-590931.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6543,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6543-774416.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6544,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6544-425247.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6545,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6545-421876.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6546,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6546-316148.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6547,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6547-114829.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6548,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6548-376132.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6549,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6549-186902.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6550,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6550-318358.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6551,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6551-993841.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6552,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6552-340338.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6553,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6553-473208.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6554,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6554-283750.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6555,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6555-872063.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6556,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6556-142388.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6557,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6557-644934.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6558,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6558-829940.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6559,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6559-784871.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6560,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6560-637640.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6561,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6561-681769.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6562,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6562-499756.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6563,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6563-772791.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6564,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6564-553426.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6565,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6565-689561.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6566,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6566-115571.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6567,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6567-687915.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6568,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6568-575275.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6569,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6569-969480.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6570,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6570-192888.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6571,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6571-406372.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6572,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6572-429926.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6573,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6573-413610.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6574,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6574-925717.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6575,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6575-522112.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6576,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6576-436036.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6577,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6577-517821.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6578,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6578-360140.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6579,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6579-186762.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6580,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6580-843171.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6581,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6581-916733.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6582,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6582-558558.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6583,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6583-792509.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6584,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6584-211449.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6585,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6585-979041.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6586,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6586-112018.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6587,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6587-359111.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6588,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6588-982241.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6589,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6589-124260.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6590,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6590-271663.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6591,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6591-497429.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6592,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6592-329436.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6593,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6593-644742.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6594,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6594-864115.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6595,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6595-406312.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6596,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6596-570402.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6597,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6597-264448.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6598,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6598-141442.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6599,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6599-853239.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6600,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6600-494033.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6601,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6601-831106.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6602,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6602-667881.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6603,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6603-977913.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6604,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6604-386642.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6605,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6605-540274.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6606,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6606-536755.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6607,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6607-369006.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6608,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 6608-242778.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6609,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6609-437504.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6610,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6610-695523.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6611,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6611-798192.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6612,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6612-590656.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6613,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6613-190470.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6614,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6614-248339.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6615,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6615-768977.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6616,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6616-822525.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6617,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6617-102173.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6618,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6618-116413.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6619,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6619-679076.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6620,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6620-252946.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6621,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6621-999210.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6622,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6622-226923.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6623,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6623-720594.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6624,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6624-801800.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6625,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6625-451313.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6626,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6626-327447.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6627,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6627-119632.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6628,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6628-976644.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6629,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6629-255991.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6630,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6630-662982.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6631,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6631-766140.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6632,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6632-645104.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6633,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6633-737128.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6634,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6634-557335.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6635,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6635-975524.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6636,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6636-747118.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6637,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6637-488116.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6638,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6638-867258.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6639,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6639-413524.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6640,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6640-110566.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6641,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6641-119321.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6642,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6642-752907.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6643,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6643-158255.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6644,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6644-672782.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6645,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6645-496685.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6646,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6646-751816.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6647,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6647-196940.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6648,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6648-407940.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6649,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6649-712513.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6650,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6650-533256.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6651,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6651-258607.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6652,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6652-278126.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6653,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6653-973028.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6654,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6654-128130.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6655,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6655-167320.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6656,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6656-977113.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6657,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6657-445669.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6658,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6658-777230.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6659,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6659-829441.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6660,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6660-702617.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6661,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6661-286555.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6662,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6662-670744.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6663,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6663-778729.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6664,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6664-513495.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6665,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6665-498321.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6666,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6666-486746.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6667,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6667-677527.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6668,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6668-456926.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6669,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6669-700742.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6670,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6670-243067.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6671,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6671-484124.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6672,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6672-685002.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6673,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6673-754021.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6674,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6674-897073.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6675,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6675-688755.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6676,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6676-273867.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6677,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6677-707978.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6678,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6678-453559.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6679,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6679-477029.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6680,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6680-551496.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6681,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6681-195153.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6682,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6682-798551.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6683,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6683-529683.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6684,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6684-580940.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6685,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6685-820677.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6686,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6686-983175.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6687,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6687-612512.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6688,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6688-887069.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6689,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6689-468666.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6690,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6690-632351.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6691,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6691-772437.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6692,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6692-302393.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6693,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6693-981630.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6694,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6694-905350.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6695,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6695-102578.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6696,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6696-692630.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6697,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6697-640681.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6698,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6698-820641.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6699,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6699-944035.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6700,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6700-155718.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6701,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6701-472324.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6702,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6702-844227.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6703,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6703-554233.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6704,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6704-235372.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6705,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6705-473265.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6706,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6706-813443.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6707,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6707-902803.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6708,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6708-356139.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6709,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6709-855523.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6710,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6710-831994.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6711,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6711-252005.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6712,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6712-736620.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6713,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6713-976383.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6714,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6714-252947.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6715,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6715-723075.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6716,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6716-408086.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6717,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6717-273346.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6718,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6718-548145.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6719,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6719-160988.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6720,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6720-124459.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6721,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6721-181294.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6722,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6722-508931.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6723,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6723-792454.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6724,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6724-160602.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6725,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6725-330489.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6726,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6726-293280.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6727,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6727-610952.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6728,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6728-987008.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6729,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6729-293829.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6730,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6730-484007.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6731,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6731-282122.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6732,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6732-784952.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6733,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6733-289638.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6734,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6734-379456.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6735,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6735-731499.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6736,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6736-839042.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6737,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6737-653398.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6738,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6738-264665.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6739,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6739-665023.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6740,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6740-938942.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6741,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6741-302648.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6742,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6742-476427.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6743,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6743-472379.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6744,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6744-254335.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6745,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6745-248747.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6746,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6746-814820.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6747,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6747-939631.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6748,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6748-175588.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6749,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6749-867395.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6750,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6750-907694.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6751,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6751-236992.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6752,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6752-189514.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6753,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6753-121444.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6754,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6754-425502.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6755,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6755-331890.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6756,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6756-969450.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6757,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6757-673766.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6758,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6758-305767.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6759,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6759-404812.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6760,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6760-227793.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6761,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6761-488363.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6762,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6762-526681.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6763,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6763-410386.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6764,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6764-648446.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6765,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6765-841206.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6766,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6766-518027.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6767,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6767-992724.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6768,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6768-626287.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6769,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6769-106149.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6770,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6770-641270.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6771,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6771-210678.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6772,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6772-352345.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6773,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6773-223723.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6774,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6774-918598.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6775,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6775-945228.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6776,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6776-597518.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6777,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6777-974851.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6778,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6778-422337.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6779,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6779-726398.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6780,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6780-712284.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6781,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6781-427511.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6782,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6782-600981.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6783,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6783-775179.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6784,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6784-507536.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6785,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6785-367371.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6786,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6786-565907.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6787,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6787-307437.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6788,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6788-365694.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6789,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6789-599513.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6790,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6790-265433.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6791,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6791-570670.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6792,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6792-608669.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6793,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6793-699091.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6794,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6794-770004.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6795,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6795-643820.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6796,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6796-300827.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6797,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6797-925213.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6798,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6798-881384.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6799,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6799-865012.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6800,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6800-562722.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6801,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6801-557522.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6802,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6802-389484.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6803,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6803-881472.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6804,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6804-179276.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6805,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6805-832583.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6806,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6806-146546.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6807,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6807-421823.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6808,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6808-613756.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6809,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6809-852640.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6810,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6810-117425.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6811,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6811-888152.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6812,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6812-338541.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6813,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6813-462656.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6814,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6814-805477.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6815,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6815-566981.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6816,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6816-312827.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6817,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6817-585763.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6818,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6818-375692.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6819,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6819-214104.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6820,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6820-319339.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6821,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6821-534607.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6822,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6822-113569.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6823,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6823-389275.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6824,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6824-720273.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6825,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6825-250796.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6826,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6826-137088.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6827,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6827-216128.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6828,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6828-628666.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6829,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6829-589962.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6830,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6830-576224.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6831,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6831-441927.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6832,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6832-505043.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6833,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6833-710846.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6834,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6834-145680.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6835,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6835-197760.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6836,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6836-621069.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6837,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6837-252465.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6838,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6838-269675.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6839,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6839-292087.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6840,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6840-347134.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6841,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6841-392258.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6842,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6842-864070.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6843,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6843-406474.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6844,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6844-143107.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6845,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6845-680484.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6846,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6846-484527.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6847,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6847-670285.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6848,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6848-519614.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6849,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6849-369194.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6850,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6850-949701.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6851,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6851-777666.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6852,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6852-206344.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6853,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6853-378120.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6854,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6854-853182.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6855,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6855-115277.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6856,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6856-676096.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6857,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6857-982443.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6858,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6858-692360.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6859,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6859-398781.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6860,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6860-842759.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6861,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6861-114597.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6862,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6862-651388.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6863,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6863-439745.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6864,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6864-698168.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6865,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6865-636604.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6866,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6866-265430.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6867,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6867-572990.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6868,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6868-346437.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6869,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6869-706210.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6870,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6870-192612.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6871,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6871-337944.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6872,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6872-182613.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6873,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6873-157244.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6874,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6874-739922.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6875,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6875-264448.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6876,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6876-559982.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6877,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6877-344673.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6878,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6878-954098.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6879,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6879-626344.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6880,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6880-624019.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6881,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6881-919288.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6882,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6882-183369.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6883,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6883-196564.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6884,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6884-392104.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6885,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6885-626795.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6886,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6886-302753.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6887,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6887-549111.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6888,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6888-275287.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6889,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6889-949715.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6890,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6890-304601.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6891,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6891-924591.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6892,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6892-766756.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6893,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6893-177823.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6894,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6894-498776.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6895,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6895-305613.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6896,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6896-243014.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6897,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6897-596518.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6898,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6898-577877.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6899,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6899-231928.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6900,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6900-173318.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6901,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6901-523685.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6902,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6902-617970.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6903,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6903-320674.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6904,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6904-873272.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6905,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6905-876570.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6906,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6906-977948.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6907,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6907-804308.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6908,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6908-735248.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6909,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6909-302445.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6910,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6910-120607.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6911,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6911-209531.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6912,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6912-608761.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6913,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6913-511977.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6914,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6914-883769.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6915,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6915-341481.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6916,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6916-110824.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6917,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6917-150072.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6918,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6918-197769.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6919,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6919-365717.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6920,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6920-642103.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6921,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6921-152420.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6922,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6922-518146.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6923,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6923-943336.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6924,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6924-779353.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6925,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6925-757637.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6926,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6926-827389.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6927,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6927-121634.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6928,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6928-235562.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6929,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6929-423207.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6930,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6930-362675.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6931,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6931-837607.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6932,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6932-711290.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6933,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6933-917410.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6934,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6934-399016.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6935,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6935-749825.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6936,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6936-582798.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6937,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6937-110619.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6938,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6938-151284.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6939,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6939-527700.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6940,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6940-321840.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6941,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6941-160885.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6942,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6942-973573.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6943,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6943-280456.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6944,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6944-711655.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6945,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6945-399676.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6946,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6946-461673.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6947,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6947-760985.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6948,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6948-140101.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6949,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6949-464576.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6950,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6950-669364.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6951,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6951-962885.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6952,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6952-679224.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6953,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6953-441154.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6954,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6954-819409.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6955,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6955-185776.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6956,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6956-883956.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6957,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6957-972714.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6958,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6958-752237.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6959,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6959-839014.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6960,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6960-906485.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6961,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6961-292090.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6962,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6962-231285.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6963,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6963-834588.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6964,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6964-927576.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6965,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6965-209654.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6966,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6966-917834.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6967,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6967-804230.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6968,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6968-815376.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6969,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6969-574758.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6970,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6970-314455.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6971,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6971-326513.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6972,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6972-303453.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6973,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6973-288108.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6974,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6974-294798.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6975,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6975-928723.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6976,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6976-438246.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6977,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6977-929989.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6978,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6978-686957.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6979,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6979-166357.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6980,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6980-907999.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6981,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6981-639548.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6982,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6982-424828.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6983,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6983-472001.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6984,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6984-551368.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6985,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6985-742571.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6986,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6986-392448.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6987,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6987-676979.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+6988,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6988-172533.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6989,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6989-224692.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6990,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6990-899277.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6991,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6991-428667.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+6992,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6992-388492.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+6993,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6993-981872.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6994,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6994-361298.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6995,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6995-955147.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+6996,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6996-715314.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6997,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 6997-116641.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6998,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6998-674137.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+6999,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6999-203533.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7000,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7000-826631.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7001,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7001-557163.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7002,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7002-702904.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7003,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7003-327442.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7004,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7004-198059.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7005,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7005-479601.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7006,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7006-751078.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7007,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7007-879420.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7008,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7008-300333.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7009,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7009-169569.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7010,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7010-576237.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7011,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7011-970519.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7012,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7012-403099.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7013,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7013-894760.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7014,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7014-959032.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7015,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7015-710800.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7016,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7016-970259.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7017,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7017-289380.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7018,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7018-138299.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7019,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7019-707365.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7020,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7020-794592.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7021,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7021-732332.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7022,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7022-532766.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7023,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7023-340234.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7024,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7024-367732.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7025,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7025-826674.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7026,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7026-658849.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7027,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7027-573626.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7028,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7028-791044.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7029,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7029-889384.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7030,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7030-613095.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7031,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7031-512069.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7032,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7032-301600.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7033,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7033-515354.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7034,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7034-406264.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7035,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7035-894704.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7036,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7036-499863.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7037,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7037-754964.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7038,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7038-535097.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7039,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7039-403163.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7040,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7040-283225.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7041,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7041-397500.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7042,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7042-859786.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7043,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7043-467277.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7044,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7044-476376.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7045,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7045-734659.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7046,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 7046-566053.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7047,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7047-102160.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7048,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7048-183610.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7049,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7049-101782.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7050,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7050-395494.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7051,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7051-305509.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7052,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7052-757186.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7053,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7053-107270.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7054,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7054-918716.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7055,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7055-430767.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7056,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7056-645014.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7057,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7057-893371.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7058,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7058-915782.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7059,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7059-477091.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7060,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7060-513646.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7061,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7061-871753.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7062,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7062-413990.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7063,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7063-214139.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7064,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7064-283105.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7065,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7065-200574.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7066,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7066-390182.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7067,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7067-352654.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7068,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7068-398563.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7069,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7069-160483.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7070,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7070-885850.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7071,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7071-895960.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7072,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7072-697558.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7073,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7073-321701.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7074,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7074-384399.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7075,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7075-996781.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7076,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7076-401838.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7077,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7077-504825.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7078,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7078-578931.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7079,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7079-460177.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7080,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7080-812601.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7081,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7081-231231.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7082,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7082-426678.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7083,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7083-507099.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7084,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7084-207550.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7085,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7085-714919.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7086,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7086-220141.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7087,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7087-436685.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7088,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7088-905534.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7089,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7089-428468.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7090,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7090-121846.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7091,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7091-897240.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7092,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7092-187717.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7093,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7093-646240.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7094,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7094-832717.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7095,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7095-621213.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7096,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7096-784412.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7097,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7097-899176.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7098,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7098-793307.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7099,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 7099-662565.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7100,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7100-873468.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7101,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7101-527220.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7102,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7102-704607.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7103,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 7103-479575.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7104,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7104-831746.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7105,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7105-150247.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7106,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7106-749977.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7107,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7107-523070.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7108,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7108-517544.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7109,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7109-160944.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7110,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7110-429762.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7111,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7111-351943.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7112,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7112-518484.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7113,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7113-919532.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7114,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7114-766536.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7115,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7115-107925.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7116,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7116-886228.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7117,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7117-571269.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7118,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7118-647732.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7119,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7119-501227.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7120,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7120-325672.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7121,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7121-475183.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7122,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7122-895765.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7123,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7123-527164.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7124,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7124-181949.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7125,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7125-823791.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7126,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 7126-399327.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7127,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7127-311335.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7128,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7128-760650.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7129,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7129-325210.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7130,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7130-157498.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7131,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7131-164840.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7132,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7132-603423.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7133,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7133-783294.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7134,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7134-301492.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7135,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7135-464627.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7136,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7136-200467.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7137,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7137-100880.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7138,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7138-570893.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7139,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7139-390538.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7140,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7140-332886.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7141,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7141-434252.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7142,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7142-511671.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7143,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7143-848475.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7144,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7144-195007.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7145,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7145-698034.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7146,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7146-149468.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7147,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7147-893088.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7148,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7148-331320.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7149,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7149-837339.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7150,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7150-147393.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7151,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7151-750904.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7152,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7152-974080.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7153,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7153-490803.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7154,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7154-127271.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7155,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7155-636143.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7156,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7156-139380.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7157,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7157-925821.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7158,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7158-588643.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7159,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7159-402129.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7160,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7160-275447.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7161,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7161-319762.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7162,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7162-869442.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7163,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7163-931741.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7164,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7164-498525.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7165,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7165-275058.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7166,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7166-927184.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7167,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7167-724476.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7168,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7168-212977.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7169,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7169-107825.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7170,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7170-562306.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7171,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7171-872105.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7172,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7172-164745.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7173,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7173-220676.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7174,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7174-554183.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7175,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7175-844294.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7176,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7176-917669.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7177,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7177-973833.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7178,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7178-103850.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7179,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7179-453154.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7180,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7180-152726.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7181,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7181-436270.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7182,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7182-445211.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7183,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7183-421272.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7184,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7184-953713.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7185,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7185-531465.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7186,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7186-298082.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7187,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7187-645229.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7188,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7188-707593.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7189,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7189-713427.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7190,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7190-182401.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7191,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7191-866539.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7192,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7192-650911.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7193,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7193-973044.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7194,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7194-443738.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7195,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7195-592566.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7196,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7196-993887.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7197,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7197-876897.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7198,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7198-217611.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7199,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7199-103609.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7200,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7200-335615.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7201,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7201-498662.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7202,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7202-447667.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7203,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7203-935869.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7204,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7204-343964.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7205,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7205-472564.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7206,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7206-350241.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7207,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7207-628279.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7208,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7208-736828.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7209,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7209-674939.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7210,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7210-426078.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7211,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7211-769281.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7212,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7212-880223.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7213,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7213-793040.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7214,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7214-912219.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7215,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7215-934839.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7216,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7216-685346.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7217,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7217-751721.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7218,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7218-301625.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7219,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7219-858313.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7220,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7220-403375.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7221,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7221-761390.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7222,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7222-670755.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7223,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7223-214632.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7224,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7224-770024.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7225,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7225-116095.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7226,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7226-737446.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7227,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7227-467042.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7228,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7228-532468.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7229,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7229-307945.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7230,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7230-487658.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7231,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7231-746916.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7232,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7232-537735.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7233,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7233-729234.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7234,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7234-901722.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7235,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7235-795171.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7236,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7236-226672.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7237,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7237-298028.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7238,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7238-139477.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7239,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7239-715549.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7240,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7240-307577.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7241,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7241-116788.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7242,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7242-544658.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7243,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7243-647838.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7244,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7244-142302.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7245,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7245-934875.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7246,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7246-795028.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7247,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7247-289309.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7248,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7248-192324.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7249,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7249-311871.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7250,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7250-482435.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7251,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7251-122846.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7252,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7252-303265.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7253,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7253-610754.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7254,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7254-409949.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7255,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7255-651247.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7256,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7256-718959.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7257,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7257-317578.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7258,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7258-284907.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7259,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7259-951919.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7260,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7260-779979.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7261,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7261-672153.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7262,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7262-650004.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7263,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7263-520073.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7264,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7264-855564.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7265,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7265-310281.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7266,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7266-675882.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7267,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7267-829494.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7268,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7268-383164.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7269,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7269-762052.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7270,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7270-278321.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7271,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7271-677890.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7272,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7272-360832.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7273,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7273-291077.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7274,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7274-930293.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7275,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7275-915745.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7276,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7276-488063.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7277,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7277-292075.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7278,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7278-627404.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7279,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7279-396727.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7280,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7280-717254.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7281,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7281-980304.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7282,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7282-788073.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7283,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7283-373944.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7284,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7284-915307.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7285,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7285-214511.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7286,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7286-115919.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7287,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7287-820264.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7288,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7288-695302.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7289,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7289-591585.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7290,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7290-876873.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7291,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7291-951001.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7292,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7292-487172.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7293,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7293-375927.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7294,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7294-127774.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7295,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7295-395184.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7296,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7296-549703.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7297,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7297-555959.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7298,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7298-458232.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7299,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7299-224891.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7300,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7300-694893.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7301,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7301-996808.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7302,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7302-262512.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7303,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7303-388607.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7304,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7304-395890.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7305,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7305-511144.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7306,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7306-124902.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7307,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7307-487867.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7308,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7308-271454.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7309,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7309-585518.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7310,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7310-186290.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7311,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7311-665724.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7312,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7312-519579.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7313,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7313-983944.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7314,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7314-314796.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7315,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7315-521575.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7316,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7316-132137.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7317,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7317-621488.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7318,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7318-773814.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7319,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7319-102779.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7320,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7320-912034.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7321,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7321-550545.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7322,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7322-971270.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7323,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7323-615630.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7324,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7324-720472.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7325,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7325-751477.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7326,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7326-185549.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7327,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7327-276799.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7328,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7328-187327.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7329,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7329-311201.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7330,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7330-737331.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7331,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7331-521231.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7332,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7332-735029.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7333,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7333-537515.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7334,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7334-218617.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7335,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7335-936207.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7336,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7336-580395.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7337,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7337-541398.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7338,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7338-851349.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7339,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7339-924587.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7340,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7340-358072.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7341,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7341-703823.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7342,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7342-559061.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7343,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7343-595544.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7344,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7344-729287.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7345,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7345-363642.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7346,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7346-270189.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7347,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7347-154838.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7348,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7348-810305.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7349,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7349-512783.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7350,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7350-215766.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7351,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7351-878175.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7352,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7352-311823.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7353,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7353-934467.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7354,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7354-375274.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7355,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7355-706576.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7356,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7356-481455.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7357,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7357-377855.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7358,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7358-523232.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7359,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7359-366898.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7360,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7360-863737.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7361,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7361-968237.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7362,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7362-605025.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7363,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7363-548822.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7364,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7364-861349.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7365,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7365-166704.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7366,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7366-480666.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7367,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7367-763196.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7368,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7368-304456.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7369,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7369-931975.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7370,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7370-996252.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7371,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7371-572729.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7372,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7372-661515.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7373,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7373-779453.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7374,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7374-907658.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7375,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7375-744624.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7376,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7376-774685.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7377,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 7377-958472.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7378,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7378-601230.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7379,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7379-120233.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7380,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7380-584403.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7381,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7381-254802.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7382,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7382-865028.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7383,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7383-538994.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7384,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7384-693723.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7385,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7385-446492.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7386,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7386-155992.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7387,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7387-190447.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7388,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7388-456217.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7389,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7389-122093.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7390,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7390-985550.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7391,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7391-748153.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7392,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7392-331073.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7393,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7393-921605.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7394,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7394-581939.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7395,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7395-434615.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7396,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7396-556884.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7397,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7397-304679.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7398,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7398-389226.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7399,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7399-828249.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7400,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7400-702560.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7401,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7401-344433.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7402,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7402-234280.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7403,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7403-317678.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7404,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7404-591144.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7405,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7405-278430.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7406,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7406-942750.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7407,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7407-178205.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7408,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7408-593709.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7409,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7409-521657.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7410,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7410-985947.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7411,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7411-671401.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7412,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7412-689741.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7413,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7413-143973.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7414,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7414-193330.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7415,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7415-270858.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7416,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7416-966119.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7417,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7417-859516.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7418,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7418-693119.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7419,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7419-777868.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7420,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7420-818474.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7421,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7421-796489.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7422,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7422-765259.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7423,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7423-210207.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7424,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7424-514442.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7425,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7425-913383.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7426,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7426-635610.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7427,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7427-791879.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7428,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7428-832831.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7429,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7429-898632.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7430,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7430-904346.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7431,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7431-710012.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7432,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7432-527313.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7433,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7433-795473.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7434,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7434-494101.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7435,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7435-313139.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7436,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7436-146933.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7437,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7437-848597.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7438,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7438-976837.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7439,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7439-537628.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7440,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7440-718828.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7441,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7441-601621.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7442,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7442-916479.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7443,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7443-322005.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7444,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7444-835121.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7445,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7445-721080.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7446,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7446-906468.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7447,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7447-350950.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7448,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7448-808716.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7449,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7449-275394.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7450,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7450-529465.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7451,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7451-391354.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7452,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7452-940048.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7453,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7453-396537.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7454,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7454-151978.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7455,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7455-145842.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7456,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7456-275286.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7457,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7457-441712.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7458,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7458-123383.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7459,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7459-525668.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7460,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7460-414183.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7461,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7461-427727.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7462,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7462-208690.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7463,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7463-639876.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7464,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7464-716887.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7465,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7465-355155.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7466,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7466-451677.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7467,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7467-154689.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7468,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7468-706759.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7469,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7469-698363.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7470,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7470-730223.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7471,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7471-377924.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7472,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7472-312109.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7473,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7473-794837.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7474,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7474-973151.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7475,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7475-497493.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7476,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7476-701839.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7477,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7477-245949.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7478,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7478-788170.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7479,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7479-576649.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7480,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7480-616856.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7481,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7481-419501.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7482,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7482-278230.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7483,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7483-186767.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7484,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7484-704560.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7485,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7485-505499.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7486,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7486-767405.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7487,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7487-378488.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7488,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7488-840314.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7489,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7489-406943.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7490,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7490-139755.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7491,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7491-434548.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7492,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7492-175876.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7493,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7493-100565.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7494,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7494-314805.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7495,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7495-264120.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7496,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7496-703510.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7497,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7497-919591.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7498,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7498-653332.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7499,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7499-158399.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7500,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7500-268279.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7501,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7501-255325.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7502,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7502-148456.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7503,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7503-950822.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7504,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7504-976764.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7505,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 7505-243790.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7506,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7506-387287.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7507,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7507-340393.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7508,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7508-987125.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7509,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7509-505967.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7510,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7510-716916.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7511,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7511-489222.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7512,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7512-271890.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7513,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7513-512858.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7514,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7514-816522.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7515,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7515-888877.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7516,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7516-317498.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7517,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7517-879543.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7518,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7518-191155.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7519,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7519-851134.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7520,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7520-557688.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7521,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7521-727014.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7522,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7522-203999.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7523,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7523-912145.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7524,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7524-875684.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7525,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7525-799970.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7526,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7526-697184.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7527,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7527-763123.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7528,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7528-852941.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7529,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7529-654293.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7530,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7530-786998.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7531,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7531-639311.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7532,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7532-619488.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7533,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7533-950556.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7534,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7534-891777.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7535,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7535-172269.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7536,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7536-660925.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7537,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7537-410905.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7538,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7538-790013.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7539,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7539-266637.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7540,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7540-842700.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7541,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7541-614108.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7542,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7542-230732.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7543,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7543-730905.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7544,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7544-268166.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7545,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7545-872582.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7546,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7546-119897.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7547,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7547-790643.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7548,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7548-105162.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7549,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7549-223555.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7550,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7550-462626.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7551,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7551-152390.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7552,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7552-760098.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7553,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7553-931694.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7554,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7554-330007.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7555,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7555-410890.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7556,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7556-964614.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7557,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7557-768739.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7558,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7558-123833.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7559,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7559-524064.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7560,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7560-288826.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7561,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7561-193640.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7562,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7562-280524.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7563,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7563-305129.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7564,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7564-479301.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7565,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7565-288423.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7566,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7566-602476.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7567,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7567-707371.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7568,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7568-699845.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7569,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7569-644175.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7570,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7570-505178.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7571,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7571-762767.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7572,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7572-178615.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7573,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7573-688156.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7574,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7574-395291.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7575,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7575-312061.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7576,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7576-640775.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7577,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7577-515050.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7578,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7578-938254.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7579,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 7579-391885.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7580,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7580-720540.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7581,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7581-369413.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7582,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7582-964304.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7583,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7583-435655.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7584,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7584-375555.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7585,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7585-388158.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7586,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7586-569004.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7587,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7587-718962.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7588,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7588-995358.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7589,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7589-505086.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7590,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7590-846097.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7591,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7591-425649.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7592,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7592-511052.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7593,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7593-185082.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7594,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7594-476013.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7595,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7595-987083.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7596,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7596-101931.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7597,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7597-672894.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7598,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 7598-797733.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7599,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7599-815657.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7600,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7600-513601.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7601,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7601-332908.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7602,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7602-591028.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7603,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7603-911540.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7604,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7604-996300.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7605,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7605-262700.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7606,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7606-846520.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7607,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7607-795298.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7608,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7608-532912.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7609,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7609-756576.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7610,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7610-161344.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7611,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7611-684860.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7612,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7612-986359.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7613,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7613-376397.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7614,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7614-327825.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7615,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7615-292002.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7616,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7616-136856.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7617,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7617-668818.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7618,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7618-243148.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7619,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7619-343697.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7620,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7620-439156.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7621,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7621-809059.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7622,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 7622-153240.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7623,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7623-257366.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7624,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7624-528750.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7625,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7625-235512.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7626,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7626-278014.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7627,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7627-811322.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7628,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7628-222134.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7629,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7629-523864.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7630,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7630-795627.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7631,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7631-166432.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7632,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7632-418175.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7633,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7633-758206.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7634,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7634-120800.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7635,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7635-881222.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7636,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7636-348106.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7637,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7637-290314.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7638,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7638-836239.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7639,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7639-510099.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7640,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7640-100323.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7641,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7641-854333.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7642,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7642-856315.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7643,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7643-711128.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7644,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7644-116967.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7645,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7645-931909.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7646,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7646-677097.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7647,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7647-903195.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7648,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7648-964309.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7649,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7649-568205.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7650,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 7650-373606.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7651,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7651-484805.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7652,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7652-946693.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7653,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7653-669920.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7654,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7654-186582.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7655,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7655-519450.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7656,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7656-627187.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7657,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7657-987245.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7658,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 7658-384921.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7659,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7659-241516.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7660,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7660-602495.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7661,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7661-215498.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7662,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7662-646280.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7663,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7663-191916.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7664,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7664-402963.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7665,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7665-355182.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7666,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7666-163002.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7667,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7667-819060.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7668,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7668-954738.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7669,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7669-690439.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7670,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7670-730943.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7671,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7671-585147.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7672,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7672-549150.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7673,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7673-420830.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7674,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7674-395702.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7675,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7675-623183.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7676,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7676-623995.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7677,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7677-401680.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7678,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7678-553053.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7679,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7679-755429.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7680,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7680-448793.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7681,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7681-452563.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7682,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7682-349260.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7683,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7683-358538.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7684,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7684-831087.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7685,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7685-955243.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7686,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7686-998487.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7687,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7687-917406.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7688,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7688-325308.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7689,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7689-291250.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7690,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7690-100380.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7691,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7691-293763.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7692,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7692-244579.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7693,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7693-717933.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7694,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7694-837182.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7695,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7695-666993.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7696,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7696-356521.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7697,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7697-708568.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7698,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7698-496275.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7699,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7699-391723.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7700,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7700-445594.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7701,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7701-698505.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7702,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7702-237046.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7703,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7703-759829.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7704,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7704-265138.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7705,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7705-396480.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7706,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7706-114124.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7707,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7707-992971.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7708,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7708-925633.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7709,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7709-424042.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7710,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7710-426910.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7711,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7711-670745.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7712,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7712-393461.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7713,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7713-298198.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7714,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7714-823222.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7715,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7715-645787.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7716,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7716-533488.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7717,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7717-743135.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7718,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7718-335695.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7719,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7719-623988.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7720,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7720-336923.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7721,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7721-944456.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7722,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7722-240819.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7723,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7723-592842.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7724,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7724-436624.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7725,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7725-888460.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7726,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7726-916569.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7727,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7727-786095.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7728,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7728-313499.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7729,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7729-724881.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7730,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7730-428460.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7731,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7731-546695.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7732,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7732-241548.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7733,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7733-198227.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7734,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7734-565008.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7735,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7735-212504.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7736,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7736-171604.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7737,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7737-588129.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7738,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7738-876596.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7739,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7739-783086.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7740,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7740-704951.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7741,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7741-234430.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7742,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7742-433101.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7743,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7743-531170.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7744,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7744-928495.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7745,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7745-189117.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7746,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7746-192152.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7747,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7747-380963.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7748,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7748-706593.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7749,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7749-740498.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7750,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7750-963684.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7751,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7751-493692.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7752,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7752-933737.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7753,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7753-432172.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7754,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7754-905163.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7755,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7755-401996.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7756,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7756-386916.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7757,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7757-974119.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7758,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7758-420669.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7759,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7759-722411.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7760,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7760-960738.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7761,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7761-919894.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7762,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7762-183254.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7763,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7763-838127.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7764,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7764-587738.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7765,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7765-511647.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7766,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7766-430224.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7767,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7767-627080.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7768,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7768-125424.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7769,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7769-659305.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7770,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7770-409219.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7771,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7771-947689.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7772,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7772-915606.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7773,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7773-656971.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7774,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7774-503817.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7775,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7775-819660.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7776,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7776-156004.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7777,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7777-245486.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7778,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7778-404815.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7779,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7779-554392.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7780,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7780-584359.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7781,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7781-457357.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7782,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7782-497684.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7783,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7783-691781.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7784,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7784-313268.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7785,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7785-825385.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7786,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7786-554361.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7787,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7787-775131.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7788,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7788-263232.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7789,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7789-711121.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7790,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7790-478592.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7791,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7791-857182.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7792,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7792-885433.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7793,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7793-883506.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7794,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7794-280012.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7795,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7795-136121.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7796,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7796-277321.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7797,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7797-414701.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7798,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7798-788731.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7799,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7799-101251.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7800,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7800-243502.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7801,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7801-996428.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7802,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7802-902692.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7803,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7803-188477.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7804,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7804-991641.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7805,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7805-189434.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7806,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7806-620895.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7807,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7807-975724.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7808,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7808-825540.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7809,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7809-414921.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7810,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7810-545977.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7811,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7811-667496.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7812,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7812-365953.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7813,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7813-748397.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7814,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7814-709624.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7815,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7815-986489.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7816,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7816-804137.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7817,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7817-405728.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7818,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7818-604126.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7819,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7819-434505.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7820,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7820-977581.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7821,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7821-137336.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7822,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7822-104435.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7823,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7823-652587.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7824,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7824-223928.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7825,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7825-809177.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7826,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7826-742278.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7827,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7827-595556.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7828,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7828-108363.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7829,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7829-130209.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7830,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7830-566402.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7831,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7831-372642.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7832,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7832-236647.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7833,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7833-585280.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7834,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7834-621865.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7835,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7835-470678.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7836,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7836-564983.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7837,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7837-963401.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7838,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7838-924209.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7839,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7839-374260.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7840,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7840-409686.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7841,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7841-848368.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7842,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7842-552095.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7843,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7843-701511.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7844,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7844-285000.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7845,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7845-985777.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7846,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7846-266227.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7847,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7847-869038.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7848,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7848-782364.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7849,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7849-439766.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7850,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7850-809435.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7851,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7851-799698.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7852,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7852-609364.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7853,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7853-485963.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7854,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7854-815072.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7855,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7855-961473.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7856,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7856-462522.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7857,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7857-501835.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7858,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7858-307363.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7859,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7859-112021.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7860,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7860-957955.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7861,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7861-118583.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7862,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7862-685689.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7863,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7863-410922.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7864,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7864-479643.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7865,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7865-927856.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7866,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7866-391137.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7867,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7867-105781.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7868,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7868-800753.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7869,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7869-843979.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7870,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7870-103987.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7871,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7871-174717.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7872,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7872-609522.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7873,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7873-179429.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7874,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7874-618252.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7875,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7875-289194.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7876,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7876-559716.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7877,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7877-964081.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7878,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7878-425011.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7879,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7879-126279.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7880,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7880-968028.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7881,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7881-930594.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7882,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7882-522222.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7883,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7883-146189.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7884,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7884-942203.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7885,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7885-804880.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7886,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7886-449560.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7887,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7887-708383.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7888,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7888-503952.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7889,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7889-341677.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7890,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7890-292493.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7891,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7891-644262.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7892,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7892-554689.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7893,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7893-437047.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7894,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7894-613813.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7895,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7895-717057.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7896,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7896-249298.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7897,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7897-300843.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7898,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7898-506643.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7899,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7899-951832.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7900,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7900-689365.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7901,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7901-774199.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7902,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7902-223530.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7903,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7903-217618.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7904,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7904-627695.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7905,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7905-165623.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7906,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7906-252348.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7907,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7907-447214.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7908,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7908-323019.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7909,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7909-545740.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7910,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7910-105489.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7911,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7911-880967.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7912,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7912-301718.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7913,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7913-352893.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7914,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7914-695575.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7915,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7915-763905.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7916,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7916-546205.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7917,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7917-635215.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7918,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7918-734840.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7919,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7919-248381.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7920,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7920-780748.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7921,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7921-371486.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7922,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7922-215867.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7923,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7923-588192.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7924,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7924-992527.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7925,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7925-918922.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7926,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7926-569525.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7927,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7927-486286.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7928,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7928-668834.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7929,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7929-794063.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7930,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7930-129619.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7931,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7931-246164.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7932,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7932-254603.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7933,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7933-475272.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7934,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7934-153633.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7935,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7935-673565.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7936,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7936-705725.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7937,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7937-882823.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7938,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7938-167357.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7939,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7939-276875.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7940,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7940-695496.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7941,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7941-135849.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7942,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7942-211834.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7943,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7943-146450.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7944,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7944-597687.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7945,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7945-610074.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7946,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7946-112650.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7947,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7947-917184.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7948,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7948-230034.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7949,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7949-194406.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7950,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7950-829992.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7951,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7951-602129.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7952,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7952-259746.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7953,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7953-211199.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7954,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7954-797082.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7955,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7955-734886.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7956,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7956-482256.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7957,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7957-479608.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7958,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7958-778077.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7959,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7959-498053.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7960,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7960-767640.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7961,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7961-701379.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7962,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7962-600238.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7963,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7963-742382.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7964,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7964-963583.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7965,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7965-395209.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7966,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7966-250767.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7967,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7967-239147.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7968,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7968-136316.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7969,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7969-641184.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7970,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7970-552670.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7971,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7971-786322.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7972,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7972-582692.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7973,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7973-132361.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7974,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7974-407300.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7975,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7975-421367.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7976,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7976-532872.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7977,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7977-424569.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7978,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7978-500659.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7979,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7979-833980.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7980,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7980-659053.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7981,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7981-941820.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7982,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7982-223072.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7983,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7983-305253.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7984,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7984-313413.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7985,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7985-436937.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7986,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7986-571749.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7987,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7987-103129.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7988,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7988-164775.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7989,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7989-226148.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7990,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7990-205561.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7991,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7991-806787.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+7992,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7992-770110.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7993,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7993-279151.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+7994,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7994-101443.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+7995,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7995-207246.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7996,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7996-700477.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7997,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7997-958452.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+7998,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 7998-241590.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+7999,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7999-930543.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8000,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8000-543333.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8001,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8001-753171.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8002,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8002-765203.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8003,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8003-373431.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8004,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8004-174699.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8005,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8005-615686.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8006,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8006-899809.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8007,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8007-307535.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8008,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 8008-236905.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8009,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8009-787924.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8010,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8010-490245.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8011,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8011-565780.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8012,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8012-269579.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8013,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8013-404564.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8014,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8014-705938.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8015,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8015-546388.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8016,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8016-553710.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8017,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8017-647447.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8018,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8018-705560.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8019,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8019-752393.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8020,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8020-347709.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8021,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8021-753097.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8022,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8022-722649.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8023,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8023-153300.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8024,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8024-675797.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8025,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8025-758567.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8026,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8026-496751.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8027,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8027-191332.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8028,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8028-481697.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8029,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8029-722875.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8030,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8030-131955.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8031,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8031-702352.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8032,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8032-501411.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8033,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8033-287161.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8034,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8034-363597.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8035,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8035-319810.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8036,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8036-672487.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8037,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8037-919861.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8038,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8038-869841.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8039,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8039-805810.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8040,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8040-773942.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8041,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8041-616056.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8042,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8042-543706.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8043,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8043-244581.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8044,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8044-237387.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8045,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8045-501029.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8046,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8046-411621.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8047,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8047-124558.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8048,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8048-645648.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8049,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8049-269424.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8050,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8050-433671.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8051,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8051-386937.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8052,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8052-494354.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8053,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8053-742862.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8054,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8054-212339.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8055,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8055-944471.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8056,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8056-345313.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8057,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8057-916828.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8058,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8058-611595.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8059,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8059-485111.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8060,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8060-800651.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8061,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8061-550257.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8062,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8062-694689.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8063,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8063-444149.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8064,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8064-664739.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8065,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8065-625947.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8066,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8066-812010.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8067,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8067-964728.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8068,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8068-177258.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8069,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8069-567412.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8070,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8070-392160.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8071,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8071-830018.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8072,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8072-379040.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8073,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8073-190952.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8074,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8074-200453.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8075,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8075-319585.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8076,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8076-354568.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8077,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8077-684570.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8078,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8078-240152.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8079,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8079-618756.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8080,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8080-293676.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8081,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8081-485601.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8082,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8082-433130.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8083,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8083-847665.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8084,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8084-902408.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8085,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 8085-549280.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8086,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8086-106181.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8087,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8087-780635.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8088,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8088-640388.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8089,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8089-962188.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8090,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8090-365457.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8091,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8091-306845.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8092,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8092-850416.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8093,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8093-812607.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8094,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8094-244940.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8095,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8095-995018.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8096,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8096-380416.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8097,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8097-106646.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8098,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8098-170773.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8099,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8099-612746.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8100,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8100-152268.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8101,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8101-665340.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8102,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8102-589809.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8103,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8103-226085.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8104,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8104-567798.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8105,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8105-893098.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8106,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8106-815593.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8107,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8107-600285.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8108,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8108-767534.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8109,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8109-929613.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8110,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8110-780242.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8111,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8111-742443.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8112,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8112-553293.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8113,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8113-429843.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8114,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8114-529324.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8115,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8115-319390.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8116,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8116-597722.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8117,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8117-430387.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8118,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8118-743753.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8119,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 8119-625995.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8120,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8120-123122.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8121,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8121-375368.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8122,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8122-246970.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8123,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8123-606133.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8124,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8124-483594.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8125,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8125-994173.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8126,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8126-966178.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8127,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8127-722645.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8128,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8128-483180.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8129,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8129-310995.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8130,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8130-953491.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8131,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8131-746876.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8132,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8132-280839.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8133,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8133-816103.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8134,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8134-660171.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8135,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8135-943815.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8136,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8136-536859.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8137,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8137-544196.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8138,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8138-988550.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8139,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8139-846279.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8140,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8140-262255.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8141,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8141-279419.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8142,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8142-192947.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8143,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8143-884665.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8144,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8144-427600.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8145,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8145-494691.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8146,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8146-905170.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8147,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8147-700340.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8148,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8148-313423.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8149,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8149-274991.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8150,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8150-417786.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8151,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8151-389634.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8152,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8152-325687.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8153,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8153-244584.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8154,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8154-598966.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8155,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8155-789876.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8156,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8156-808279.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8157,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8157-676855.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8158,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8158-882642.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8159,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8159-327690.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8160,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8160-242545.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8161,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8161-672277.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8162,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8162-165307.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8163,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8163-288367.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8164,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8164-825315.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8165,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8165-204207.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8166,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8166-916409.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8167,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8167-405986.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8168,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8168-242922.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8169,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8169-753080.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8170,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8170-116353.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8171,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8171-171322.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8172,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8172-727673.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8173,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8173-791855.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8174,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8174-765481.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8175,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8175-869432.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8176,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8176-805794.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8177,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8177-212167.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8178,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8178-672190.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8179,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8179-827180.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8180,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8180-442626.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8181,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8181-689557.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8182,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8182-777309.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8183,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8183-732004.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8184,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8184-584591.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8185,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8185-376658.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8186,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8186-109952.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8187,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8187-957914.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8188,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8188-534079.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8189,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8189-518604.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8190,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8190-936578.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8191,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8191-956603.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8192,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8192-839909.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8193,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8193-686345.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8194,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8194-440961.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8195,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8195-973353.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8196,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8196-679134.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8197,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8197-997252.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8198,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8198-348175.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8199,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8199-571130.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8200,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8200-392271.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8201,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8201-979563.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8202,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8202-266112.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8203,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8203-688617.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8204,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8204-576297.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8205,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8205-199883.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8206,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8206-642922.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8207,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8207-218360.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8208,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8208-568450.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8209,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8209-992369.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8210,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8210-271834.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8211,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8211-254466.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8212,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8212-715748.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8213,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8213-754366.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8214,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8214-742368.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8215,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8215-836158.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8216,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8216-465421.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8217,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8217-445666.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8218,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8218-335546.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8219,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8219-748032.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8220,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8220-860763.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8221,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8221-635635.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8222,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8222-336792.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8223,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8223-164723.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8224,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8224-742813.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8225,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8225-674317.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8226,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8226-993401.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8227,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8227-417354.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8228,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8228-123114.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8229,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8229-332378.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8230,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8230-385644.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8231,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8231-359930.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8232,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8232-970066.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8233,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8233-293644.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8234,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8234-950338.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8235,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8235-336440.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8236,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8236-627547.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8237,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8237-215303.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8238,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8238-683269.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8239,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8239-372532.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8240,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8240-756213.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8241,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8241-393617.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8242,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8242-929807.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8243,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8243-884703.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8244,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8244-743222.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8245,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8245-947404.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8246,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8246-159723.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8247,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8247-624075.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8248,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8248-161329.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8249,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8249-661081.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8250,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8250-300835.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8251,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8251-119536.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8252,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8252-793139.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8253,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8253-694469.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8254,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8254-355014.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8255,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8255-211831.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8256,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8256-113498.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8257,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8257-713502.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8258,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8258-644491.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8259,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8259-887888.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8260,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8260-161395.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8261,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8261-122412.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8262,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8262-476547.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8263,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8263-791648.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8264,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8264-619115.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8265,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8265-961880.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8266,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8266-378494.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8267,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8267-635303.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8268,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8268-986420.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8269,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8269-138591.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8270,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8270-969681.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8271,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8271-314624.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8272,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8272-726038.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8273,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8273-803764.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8274,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8274-170780.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8275,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8275-851630.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8276,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8276-550456.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8277,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8277-394293.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8278,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8278-522308.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8279,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8279-610374.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8280,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8280-201205.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8281,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8281-355342.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8282,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8282-347181.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8283,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8283-497529.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8284,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8284-410602.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8285,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8285-367450.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8286,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8286-907822.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8287,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8287-912625.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8288,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8288-539813.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8289,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8289-225881.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8290,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8290-584596.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8291,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8291-299980.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8292,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8292-760856.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8293,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8293-421137.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8294,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8294-397825.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8295,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8295-741449.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8296,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8296-221734.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8297,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8297-349146.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8298,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8298-166958.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8299,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8299-524027.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8300,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8300-821125.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8301,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8301-411941.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8302,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8302-905617.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8303,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8303-448699.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8304,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8304-558825.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8305,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8305-757994.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8306,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8306-789839.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8307,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8307-208753.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8308,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8308-342237.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8309,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8309-776500.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8310,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8310-904860.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8311,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8311-601524.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8312,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8312-925551.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8313,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8313-999010.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8314,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8314-127922.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8315,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8315-785563.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8316,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8316-672467.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8317,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8317-967702.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8318,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8318-910767.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8319,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8319-990020.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8320,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8320-228033.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8321,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8321-206655.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8322,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8322-248928.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8323,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8323-119513.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8324,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8324-171457.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8325,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8325-319491.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8326,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8326-598697.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8327,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8327-666562.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8328,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8328-232255.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8329,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8329-306686.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8330,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8330-969705.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8331,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8331-400460.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8332,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8332-260175.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8333,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8333-871262.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8334,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8334-758489.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8335,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8335-170698.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8336,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8336-683513.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8337,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8337-121377.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8338,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8338-850138.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8339,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8339-436254.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8340,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8340-467231.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8341,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8341-948700.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8342,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8342-496284.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8343,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8343-452568.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8344,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8344-844349.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8345,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8345-189799.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8346,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8346-800206.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8347,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8347-683850.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8348,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8348-773893.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8349,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8349-801304.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8350,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8350-968539.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8351,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8351-809656.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8352,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8352-782918.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8353,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8353-683810.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8354,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8354-832713.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8355,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8355-150457.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8356,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8356-439120.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8357,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8357-413406.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8358,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8358-829597.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8359,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8359-517054.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8360,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8360-282287.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8361,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8361-414067.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8362,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8362-990619.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8363,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8363-477615.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8364,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8364-363174.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8365,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8365-757676.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8366,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8366-861129.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8367,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8367-642113.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8368,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8368-812448.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8369,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8369-281982.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8370,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8370-275569.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8371,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8371-736719.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8372,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8372-247912.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8373,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8373-845922.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8374,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8374-677303.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8375,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8375-855413.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8376,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8376-674330.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8377,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8377-139463.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8378,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8378-401739.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8379,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8379-977518.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8380,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8380-735430.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8381,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8381-500838.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8382,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8382-175018.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8383,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8383-278788.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8384,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8384-121060.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8385,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8385-981579.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8386,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8386-178664.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8387,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8387-932889.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8388,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8388-184264.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8389,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8389-577443.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8390,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8390-381977.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8391,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8391-338540.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8392,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8392-554272.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8393,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8393-475216.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8394,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8394-303384.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8395,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8395-601962.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8396,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8396-197060.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8397,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8397-213777.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8398,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8398-928421.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8399,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8399-396104.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8400,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8400-819722.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8401,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8401-711810.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8402,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8402-490829.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8403,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8403-372220.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8404,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8404-621071.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8405,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8405-573307.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8406,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8406-983926.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8407,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8407-859652.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8408,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8408-185920.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8409,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8409-966750.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8410,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8410-277052.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8411,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8411-575618.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8412,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8412-143834.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8413,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8413-803298.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8414,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8414-619719.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8415,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8415-545956.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8416,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8416-845698.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8417,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8417-282640.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8418,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8418-738983.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8419,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8419-496706.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8420,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8420-472714.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8421,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8421-517605.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8422,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8422-567163.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8423,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8423-303013.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8424,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8424-890650.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8425,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8425-169114.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8426,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8426-611646.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8427,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8427-444314.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8428,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8428-289388.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8429,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8429-394203.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8430,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8430-888444.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8431,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8431-488652.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8432,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8432-438507.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8433,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8433-306755.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8434,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8434-954743.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8435,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8435-341094.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8436,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8436-328064.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8437,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8437-798589.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8438,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8438-530993.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8439,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8439-548398.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8440,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8440-613839.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8441,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8441-542038.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8442,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8442-870151.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8443,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8443-583635.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8444,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8444-701769.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8445,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8445-341919.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8446,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8446-629994.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8447,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8447-656318.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8448,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8448-970498.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8449,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8449-183730.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8450,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8450-225812.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8451,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8451-305324.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8452,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8452-557981.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8453,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8453-105856.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8454,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8454-335345.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8455,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8455-156157.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8456,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8456-744119.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8457,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8457-434463.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8458,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8458-664260.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8459,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8459-884215.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8460,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8460-397813.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8461,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8461-831269.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8462,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8462-891219.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8463,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8463-281314.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8464,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8464-904844.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8465,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8465-183317.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8466,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8466-649301.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8467,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8467-634096.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8468,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8468-113833.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8469,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8469-444014.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8470,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8470-311493.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8471,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8471-126110.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8472,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8472-322333.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8473,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8473-412588.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8474,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8474-976667.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8475,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8475-907855.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8476,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8476-892228.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8477,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8477-704365.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8478,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8478-424201.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8479,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8479-168101.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8480,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8480-355989.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8481,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8481-712663.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8482,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8482-921717.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8483,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8483-199379.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8484,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8484-867307.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8485,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8485-704820.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8486,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8486-818699.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8487,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8487-556221.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8488,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8488-778644.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8489,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8489-367501.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8490,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8490-211651.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8491,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8491-147093.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8492,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8492-844656.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8493,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8493-493181.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8494,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8494-765796.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8495,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8495-157443.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8496,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8496-817873.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8497,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8497-988660.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8498,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8498-704806.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8499,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8499-382522.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8500,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8500-433020.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8501,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8501-770666.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8502,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8502-136384.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8503,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8503-879827.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8504,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8504-468012.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8505,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8505-249407.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8506,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8506-540790.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8507,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8507-721055.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8508,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8508-556753.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8509,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8509-663092.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8510,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8510-383305.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8511,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8511-288829.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8512,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8512-739942.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8513,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8513-861966.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8514,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8514-850982.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8515,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8515-622224.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8516,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8516-236796.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8517,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8517-525553.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8518,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8518-556936.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8519,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8519-279633.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8520,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8520-402771.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8521,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8521-841177.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8522,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8522-234224.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8523,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8523-496078.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8524,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8524-597127.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8525,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8525-206441.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8526,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8526-885107.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8527,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8527-517469.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8528,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8528-343216.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8529,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8529-700026.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8530,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8530-383299.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8531,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8531-820912.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8532,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8532-511954.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8533,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8533-579015.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8534,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8534-990808.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8535,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8535-850972.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8536,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8536-169901.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8537,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8537-684577.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8538,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8538-162218.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8539,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8539-609870.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8540,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8540-674687.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8541,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8541-396369.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8542,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8542-463044.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8543,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8543-590658.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8544,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8544-232161.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8545,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8545-152791.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8546,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8546-274213.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8547,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8547-893921.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8548,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8548-372181.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8549,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8549-616959.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8550,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8550-990443.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8551,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8551-880591.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8552,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8552-456337.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8553,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8553-977593.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8554,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8554-789609.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8555,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8555-679742.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8556,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8556-496635.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8557,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8557-911589.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8558,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8558-656137.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8559,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8559-729631.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8560,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8560-532020.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8561,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8561-346711.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8562,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8562-694942.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8563,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8563-166351.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8564,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8564-621358.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8565,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8565-888436.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8566,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8566-647321.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8567,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8567-984395.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8568,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8568-607495.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8569,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8569-159516.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8570,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8570-717573.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8571,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8571-781185.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8572,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8572-231289.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8573,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8573-398421.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8574,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8574-317956.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8575,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8575-598484.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8576,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8576-265675.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8577,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8577-199486.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8578,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8578-950795.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8579,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8579-828574.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8580,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8580-358346.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8581,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8581-899036.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8582,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8582-770234.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8583,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8583-546919.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8584,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8584-262272.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8585,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8585-381015.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8586,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8586-475651.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8587,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8587-923648.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8588,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8588-112921.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8589,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8589-964580.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8590,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8590-913000.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8591,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8591-513329.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8592,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8592-276072.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8593,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8593-698444.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8594,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8594-992536.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8595,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8595-606713.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8596,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8596-939508.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8597,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8597-880273.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8598,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8598-471941.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8599,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8599-982744.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8600,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8600-622312.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8601,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8601-753925.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8602,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8602-541485.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8603,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8603-194060.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8604,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8604-840788.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8605,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8605-779787.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8606,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8606-271805.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8607,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8607-522531.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8608,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8608-336882.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8609,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8609-590961.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8610,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8610-135016.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8611,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8611-663553.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8612,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8612-908799.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8613,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8613-300745.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8614,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8614-417502.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8615,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8615-179322.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8616,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8616-748487.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8617,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8617-364148.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8618,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8618-625478.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8619,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8619-921961.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8620,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8620-963723.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8621,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8621-175743.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8622,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8622-363481.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8623,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8623-557287.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8624,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8624-146807.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8625,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8625-414920.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8626,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8626-371372.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8627,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8627-645529.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8628,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8628-824767.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8629,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8629-971123.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8630,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8630-142307.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8631,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8631-350555.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8632,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8632-338355.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8633,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8633-431048.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8634,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8634-509290.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8635,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8635-489640.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8636,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8636-237220.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8637,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8637-302340.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8638,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8638-597709.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8639,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8639-974085.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8640,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8640-107812.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8641,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8641-299421.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8642,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8642-286404.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8643,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8643-103585.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8644,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8644-557763.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8645,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8645-510619.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8646,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8646-105519.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8647,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8647-679611.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8648,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8648-525350.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8649,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8649-270743.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8650,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8650-995775.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8651,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8651-706920.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8652,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8652-476263.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8653,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8653-408178.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8654,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8654-795246.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8655,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8655-641357.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8656,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8656-935872.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8657,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8657-494050.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8658,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8658-665038.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8659,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8659-108852.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8660,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8660-222939.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8661,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8661-304362.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8662,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8662-705782.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8663,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8663-530296.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8664,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8664-507850.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8665,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8665-721110.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8666,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8666-577151.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8667,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8667-325315.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8668,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8668-925170.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8669,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8669-687780.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8670,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8670-279285.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8671,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8671-411142.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8672,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8672-964266.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8673,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8673-432081.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8674,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8674-715218.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8675,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8675-446504.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8676,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8676-516244.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8677,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8677-974099.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8678,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8678-339703.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8679,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8679-705527.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8680,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8680-970522.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8681,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8681-285196.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8682,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8682-733003.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8683,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8683-293687.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8684,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8684-680068.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8685,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8685-375390.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8686,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8686-656054.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8687,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8687-941312.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8688,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8688-505793.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8689,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8689-341882.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8690,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8690-433474.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8691,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8691-596655.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8692,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8692-279515.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8693,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8693-417922.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8694,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8694-400294.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8695,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8695-472182.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8696,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8696-422227.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8697,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8697-417775.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8698,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8698-681260.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8699,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8699-511279.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8700,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8700-394532.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8701,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8701-169916.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8702,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8702-908295.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8703,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8703-291047.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8704,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8704-980418.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8705,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8705-841109.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8706,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8706-892267.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8707,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8707-472373.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8708,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8708-859787.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8709,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8709-671856.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8710,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8710-957781.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8711,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8711-517106.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8712,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8712-637531.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8713,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8713-919150.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8714,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8714-496939.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8715,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8715-555654.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8716,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8716-533631.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8717,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8717-786481.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8718,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8718-269072.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8719,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8719-159222.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8720,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8720-899538.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8721,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8721-566868.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8722,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8722-614875.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8723,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8723-841708.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8724,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8724-423968.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8725,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8725-690251.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8726,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8726-425087.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8727,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8727-985189.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8728,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8728-158980.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8729,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8729-618007.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8730,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8730-214183.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8731,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8731-284917.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8732,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8732-199806.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8733,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8733-316173.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8734,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8734-862695.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8735,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8735-801860.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8736,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8736-441887.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8737,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8737-538372.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8738,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8738-449321.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8739,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8739-379941.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8740,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8740-430552.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8741,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8741-549574.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8742,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8742-231390.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8743,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8743-582110.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8744,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8744-307461.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8745,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8745-604271.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8746,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8746-731876.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8747,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8747-769411.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8748,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8748-308849.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8749,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8749-632436.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8750,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8750-155718.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8751,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8751-850076.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8752,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8752-964480.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8753,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8753-600755.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8754,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8754-567447.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8755,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8755-591740.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8756,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8756-308487.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8757,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8757-656457.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8758,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8758-966679.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8759,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8759-867160.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8760,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8760-270533.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8761,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8761-585356.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8762,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8762-631659.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8763,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8763-198648.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8764,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8764-104107.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8765,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8765-300234.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8766,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8766-380494.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8767,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8767-368134.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8768,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8768-631888.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8769,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8769-495092.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8770,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8770-342396.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8771,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8771-712593.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8772,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8772-655070.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8773,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8773-205992.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8774,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8774-919466.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8775,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8775-863244.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8776,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8776-817392.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8777,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8777-729350.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8778,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8778-760327.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8779,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8779-339591.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8780,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8780-353470.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8781,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8781-384699.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8782,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8782-291742.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8783,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8783-412284.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8784,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8784-334092.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8785,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8785-535022.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8786,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8786-153610.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8787,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8787-207095.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8788,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8788-325100.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8789,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8789-393356.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8790,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8790-212169.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8791,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8791-571224.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8792,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8792-759889.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8793,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8793-291521.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8794,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8794-122757.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8795,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8795-740611.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8796,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8796-837290.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8797,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8797-652469.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8798,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8798-226822.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8799,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8799-619231.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8800,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8800-698012.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8801,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8801-998677.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8802,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8802-527662.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8803,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8803-556547.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8804,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8804-277058.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8805,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8805-543242.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8806,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8806-845043.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8807,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8807-330761.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8808,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8808-608314.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8809,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8809-259654.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8810,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8810-504451.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8811,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8811-867513.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8812,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8812-261793.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8813,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8813-670495.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8814,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8814-698192.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8815,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8815-298391.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8816,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8816-880377.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8817,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8817-982521.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8818,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8818-457736.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8819,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8819-362000.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8820,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8820-142170.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8821,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8821-258259.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8822,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8822-989950.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8823,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8823-994084.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8824,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8824-939720.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8825,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8825-519018.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8826,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8826-205553.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8827,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8827-602865.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8828,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8828-257021.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8829,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8829-513611.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8830,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8830-327709.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8831,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8831-741467.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8832,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8832-312866.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8833,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8833-970145.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8834,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8834-558880.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8835,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8835-574739.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8836,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8836-373133.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8837,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8837-903007.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8838,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8838-659087.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8839,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8839-270485.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8840,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8840-922174.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8841,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8841-368848.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8842,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8842-151931.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8843,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8843-852946.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8844,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8844-591992.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8845,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8845-329995.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8846,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8846-509418.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8847,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8847-130010.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8848,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8848-241454.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8849,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8849-971449.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8850,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8850-364172.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8851,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8851-489826.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8852,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8852-235175.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8853,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8853-187984.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8854,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8854-859533.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8855,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8855-846329.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8856,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8856-777838.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8857,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8857-150794.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8858,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8858-555433.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8859,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8859-288659.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8860,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8860-954781.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8861,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8861-923807.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8862,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8862-622632.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8863,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8863-478691.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8864,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8864-279121.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8865,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8865-179532.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8866,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8866-518756.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8867,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8867-740240.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8868,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8868-913003.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8869,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8869-408775.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8870,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 8870-321872.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8871,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8871-780366.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8872,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 8872-857955.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8873,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8873-373143.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8874,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8874-196042.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8875,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8875-480558.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8876,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8876-930841.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8877,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8877-409499.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8878,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8878-341472.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8879,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8879-763178.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8880,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8880-389860.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8881,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8881-969029.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8882,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8882-680710.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8883,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8883-991134.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8884,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8884-882493.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8885,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8885-863774.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8886,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8886-293899.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8887,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8887-575629.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8888,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8888-180442.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8889,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8889-943645.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8890,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8890-145841.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8891,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8891-152074.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8892,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8892-614111.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8893,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8893-604318.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8894,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8894-690613.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8895,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8895-863698.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8896,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8896-836997.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8897,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8897-830823.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8898,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8898-132118.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8899,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8899-660869.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8900,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8900-843177.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8901,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8901-290681.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8902,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8902-537246.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8903,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8903-600181.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8904,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8904-147201.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8905,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8905-420288.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8906,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8906-937517.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8907,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8907-105325.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8908,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8908-207973.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8909,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8909-743246.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8910,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8910-875951.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8911,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8911-346278.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8912,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8912-382281.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8913,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8913-900612.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8914,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8914-756198.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8915,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8915-421039.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8916,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8916-629309.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8917,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8917-250772.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8918,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8918-879431.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8919,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8919-239752.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8920,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8920-257436.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8921,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8921-546569.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8922,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8922-452135.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8923,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8923-318331.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8924,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8924-856878.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8925,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8925-451019.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8926,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8926-640445.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8927,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8927-890731.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8928,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8928-940672.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8929,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8929-121685.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8930,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8930-131950.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8931,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8931-331308.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8932,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8932-194871.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8933,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8933-380917.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8934,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8934-479771.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8935,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8935-217932.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8936,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8936-166083.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8937,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8937-813246.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8938,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8938-931400.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8939,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8939-535444.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8940,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8940-651774.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8941,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8941-579742.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8942,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8942-710288.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8943,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8943-578542.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8944,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8944-172364.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8945,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8945-815056.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8946,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8946-699891.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8947,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8947-789179.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8948,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8948-101931.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8949,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8949-683617.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8950,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8950-706322.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8951,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8951-224091.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8952,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8952-946181.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8953,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8953-575035.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8954,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8954-952898.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8955,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8955-446826.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8956,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8956-764469.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8957,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8957-379324.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8958,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8958-589089.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8959,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8959-262175.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8960,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8960-921790.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8961,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8961-206434.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8962,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8962-543008.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8963,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8963-693350.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8964,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8964-774253.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8965,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8965-370518.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8966,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8966-655668.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8967,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8967-175381.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8968,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8968-170164.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8969,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8969-987275.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8970,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8970-768890.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8971,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8971-286234.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8972,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8972-370239.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8973,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8973-126626.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8974,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8974-350840.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8975,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8975-640567.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8976,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8976-407085.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8977,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8977-433868.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8978,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8978-972670.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8979,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8979-243122.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8980,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8980-485566.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8981,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8981-765754.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8982,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8982-506519.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8983,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8983-387254.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8984,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8984-837445.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8985,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8985-372186.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8986,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8986-643168.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8987,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8987-871848.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8988,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8988-592000.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8989,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8989-448236.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8990,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8990-877508.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8991,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8991-624862.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8992,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8992-368831.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+8993,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8993-102812.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8994,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8994-906549.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+8995,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8995-476326.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8996,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8996-333933.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+8997,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8997-978626.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+8998,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8998-961307.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+8999,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 8999-342244.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9000,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9000-270560.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9001,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9001-959042.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9002,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9002-199373.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9003,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9003-479695.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9004,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9004-124692.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9005,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9005-605688.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9006,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9006-663130.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9007,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9007-525300.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9008,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9008-764611.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9009,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9009-481927.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9010,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9010-715364.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9011,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9011-845179.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9012,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9012-349299.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9013,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9013-314115.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9014,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9014-176773.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9015,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9015-117547.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9016,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9016-751449.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9017,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9017-848879.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9018,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9018-886273.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9019,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9019-982541.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9020,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9020-732181.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9021,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9021-848120.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9022,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9022-719054.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9023,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9023-980277.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9024,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9024-352404.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9025,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9025-140321.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9026,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9026-620527.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9027,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9027-777563.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9028,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9028-173887.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9029,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9029-498493.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9030,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9030-887972.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9031,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9031-766820.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9032,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9032-597357.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9033,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9033-978924.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9034,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9034-613261.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9035,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9035-570571.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9036,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9036-819027.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9037,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9037-330960.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9038,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9038-851587.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9039,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9039-754834.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9040,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9040-803508.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9041,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9041-861441.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9042,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9042-909254.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9043,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9043-303505.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9044,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9044-361486.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9045,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9045-368248.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9046,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9046-312506.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9047,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9047-334517.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9048,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9048-644094.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9049,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9049-936566.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9050,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9050-463342.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9051,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9051-116516.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9052,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9052-783865.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9053,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9053-516648.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9054,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9054-275203.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9055,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9055-955787.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9056,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9056-161475.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9057,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9057-574972.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9058,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 9058-842862.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9059,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9059-356282.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9060,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9060-835060.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9061,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9061-643160.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9062,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9062-527131.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9063,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9063-314259.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9064,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9064-403499.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9065,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9065-394196.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9066,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9066-887830.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9067,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9067-761146.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9068,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9068-757551.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9069,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9069-679699.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9070,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9070-397194.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9071,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9071-149578.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9072,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9072-288514.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9073,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9073-742558.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9074,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9074-334527.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9075,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9075-756707.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9076,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9076-731567.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9077,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9077-169358.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9078,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9078-347313.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9079,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9079-850786.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9080,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9080-541683.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9081,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9081-713041.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9082,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9082-698886.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9083,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9083-244029.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9084,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9084-132024.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9085,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9085-350189.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9086,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9086-884724.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9087,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9087-935610.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9088,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9088-572464.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9089,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9089-846908.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9090,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9090-142193.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9091,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9091-522087.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9092,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9092-424213.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9093,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9093-553555.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9094,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9094-720405.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9095,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9095-722247.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9096,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9096-834165.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9097,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9097-139259.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9098,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9098-778223.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9099,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9099-238872.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9100,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9100-112170.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9101,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9101-892825.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9102,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9102-652405.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9103,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9103-878644.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9104,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9104-144839.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9105,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9105-188836.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9106,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9106-105825.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9107,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9107-344924.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9108,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9108-787398.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9109,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9109-273822.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9110,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9110-410854.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9111,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9111-130660.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9112,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9112-259023.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9113,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9113-200882.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9114,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9114-966759.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9115,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9115-263146.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9116,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9116-905144.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9117,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9117-120822.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9118,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9118-193044.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9119,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9119-591598.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9120,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9120-870327.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9121,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9121-896392.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9122,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9122-145248.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9123,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9123-949787.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9124,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9124-815543.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9125,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9125-979325.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9126,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9126-309266.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9127,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9127-261889.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9128,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9128-908626.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9129,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9129-113465.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9130,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 9130-957491.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9131,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9131-373239.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9132,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9132-560968.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9133,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9133-587315.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9134,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9134-325373.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9135,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9135-415920.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9136,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9136-571607.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9137,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9137-670187.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9138,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9138-807045.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9139,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9139-242833.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9140,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9140-908864.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9141,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9141-914405.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9142,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9142-870584.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9143,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9143-836445.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9144,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9144-391741.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9145,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9145-289429.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9146,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9146-794172.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9147,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9147-429334.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9148,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9148-726825.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9149,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9149-476368.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9150,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9150-182951.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9151,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9151-946399.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9152,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9152-911439.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9153,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9153-201659.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9154,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9154-426113.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9155,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9155-709386.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9156,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9156-792801.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9157,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9157-593816.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9158,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9158-436631.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9159,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9159-630193.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9160,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9160-409062.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9161,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9161-762514.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9162,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9162-844422.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9163,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9163-117974.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9164,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9164-129634.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9165,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9165-803416.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9166,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9166-525349.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9167,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9167-923138.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9168,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9168-945593.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9169,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9169-178005.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9170,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9170-420340.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9171,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9171-985782.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9172,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9172-487500.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9173,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9173-875099.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9174,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9174-901847.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9175,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9175-407931.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9176,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9176-388343.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9177,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9177-196258.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9178,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9178-687175.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9179,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9179-233411.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9180,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9180-648852.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9181,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9181-953790.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9182,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9182-183798.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9183,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9183-583072.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9184,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9184-354554.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9185,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9185-667447.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9186,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9186-288613.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9187,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9187-517708.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9188,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9188-647329.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9189,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9189-215621.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9190,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9190-581624.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9191,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9191-100610.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9192,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9192-172463.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9193,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9193-123764.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9194,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9194-602710.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9195,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9195-320483.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9196,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9196-640140.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9197,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9197-472646.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9198,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9198-353934.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9199,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9199-300357.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9200,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9200-767541.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9201,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9201-401931.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9202,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9202-839403.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9203,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9203-948894.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9204,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9204-304545.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9205,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9205-179444.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9206,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9206-814733.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9207,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9207-667885.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9208,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9208-976574.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9209,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9209-480487.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9210,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9210-363707.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9211,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9211-677940.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9212,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9212-400567.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9213,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9213-786900.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9214,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9214-603335.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9215,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9215-670645.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9216,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9216-312737.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9217,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9217-658999.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9218,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9218-409700.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9219,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9219-577383.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9220,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9220-518305.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9221,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9221-583628.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9222,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9222-946361.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9223,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9223-643840.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9224,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9224-224774.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9225,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9225-346964.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9226,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9226-403077.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9227,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9227-403820.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9228,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9228-638446.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9229,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9229-292423.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9230,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9230-940308.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9231,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9231-176671.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9232,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9232-275816.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9233,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9233-369202.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9234,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9234-950435.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9235,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9235-149484.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9236,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9236-199040.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9237,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9237-595608.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9238,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9238-169240.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9239,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9239-843897.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9240,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9240-607618.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9241,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9241-555437.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9242,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9242-524829.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9243,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9243-852000.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9244,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9244-998629.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9245,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9245-445328.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9246,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9246-896228.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9247,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9247-500005.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9248,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9248-565639.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9249,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9249-603985.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9250,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9250-569157.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9251,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9251-737756.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9252,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9252-998815.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9253,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9253-791950.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9254,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9254-718854.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9255,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9255-844481.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9256,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9256-468868.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9257,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9257-641614.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9258,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9258-819992.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9259,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9259-524752.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9260,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9260-441253.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9261,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9261-343392.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9262,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9262-622988.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9263,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9263-793568.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9264,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9264-119941.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9265,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9265-755345.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9266,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9266-960446.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9267,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9267-827046.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9268,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9268-855483.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9269,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9269-966787.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9270,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9270-282838.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9271,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9271-737137.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9272,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9272-383739.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9273,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9273-942654.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9274,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9274-704177.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9275,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9275-319727.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9276,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9276-605075.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9277,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9277-929805.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9278,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9278-183899.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9279,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9279-740640.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9280,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9280-971789.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9281,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9281-283986.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9282,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9282-520365.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9283,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9283-494830.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9284,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9284-914982.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9285,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9285-150364.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9286,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9286-398250.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9287,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9287-514273.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9288,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9288-232908.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9289,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9289-348459.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9290,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9290-977996.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9291,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9291-225591.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9292,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9292-556345.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9293,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9293-616383.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9294,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9294-467626.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9295,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9295-352336.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9296,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9296-136525.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9297,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9297-505548.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9298,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9298-561621.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9299,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9299-923685.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9300,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9300-720770.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9301,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9301-794059.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9302,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9302-675826.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9303,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9303-389194.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9304,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9304-848007.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9305,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9305-792405.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9306,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9306-734186.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9307,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9307-149284.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9308,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9308-154850.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9309,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9309-930534.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9310,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9310-914207.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9311,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9311-548945.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9312,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9312-178423.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9313,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9313-983736.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9314,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9314-412835.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9315,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9315-735909.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9316,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9316-940800.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9317,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9317-227678.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9318,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9318-311812.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9319,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9319-692161.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9320,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9320-126039.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9321,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9321-368337.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9322,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9322-692628.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9323,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9323-587013.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9324,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9324-560113.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9325,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9325-413725.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9326,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9326-633906.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9327,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9327-728720.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9328,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9328-382107.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9329,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9329-668085.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9330,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9330-191690.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9331,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9331-547901.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9332,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9332-302143.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9333,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9333-586093.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9334,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9334-680218.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9335,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9335-665969.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9336,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9336-942966.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9337,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9337-482868.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9338,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9338-605322.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9339,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9339-586173.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9340,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9340-809505.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9341,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9341-346513.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9342,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9342-987377.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9343,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9343-520004.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9344,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9344-689650.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9345,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9345-573804.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9346,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9346-939445.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9347,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9347-248818.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9348,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9348-873381.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9349,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9349-536365.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9350,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9350-558205.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9351,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9351-555026.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9352,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9352-187286.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9353,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9353-841872.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9354,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9354-198953.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9355,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9355-366272.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9356,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9356-292734.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9357,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9357-866931.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9358,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9358-389967.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9359,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9359-569681.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9360,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9360-679022.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9361,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9361-464569.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9362,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9362-762413.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9363,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9363-829108.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9364,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9364-531286.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9365,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9365-503255.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9366,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9366-682613.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9367,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9367-729178.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9368,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9368-198025.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9369,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9369-429877.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9370,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9370-433952.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9371,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9371-999212.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9372,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9372-392466.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9373,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9373-378389.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9374,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9374-580953.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9375,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9375-185179.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9376,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9376-981341.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9377,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9377-207153.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9378,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9378-222114.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9379,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9379-836867.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9380,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9380-589318.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9381,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9381-851887.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9382,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9382-294211.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9383,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9383-628298.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9384,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9384-770886.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9385,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9385-710299.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9386,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9386-310195.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9387,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9387-839656.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9388,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9388-614698.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9389,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9389-862006.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9390,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9390-629798.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9391,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9391-539248.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9392,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9392-768319.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9393,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9393-794482.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9394,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9394-107480.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9395,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9395-825636.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9396,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9396-968111.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9397,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9397-997315.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9398,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9398-484966.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9399,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9399-940813.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9400,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9400-184173.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9401,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9401-497684.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9402,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9402-639743.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9403,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9403-931751.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9404,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9404-411608.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9405,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9405-804718.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9406,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9406-472696.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9407,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9407-571607.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9408,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9408-469876.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9409,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9409-731353.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9410,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9410-650243.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9411,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9411-954632.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9412,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9412-706493.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9413,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9413-792884.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9414,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9414-791732.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9415,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9415-181413.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9416,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9416-377521.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9417,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9417-611259.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9418,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9418-159335.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9419,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9419-529012.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9420,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9420-990214.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9421,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9421-461340.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9422,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9422-503542.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9423,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9423-321703.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9424,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9424-992141.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9425,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9425-956997.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9426,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 9426-302680.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9427,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9427-251064.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9428,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9428-585980.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9429,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9429-900555.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9430,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9430-282119.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9431,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9431-862323.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9432,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9432-331059.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9433,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9433-450904.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9434,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9434-615654.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9435,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9435-127205.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9436,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9436-906989.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9437,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9437-986644.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9438,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9438-633604.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9439,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9439-115167.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9440,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9440-506103.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9441,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9441-328962.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9442,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9442-948954.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9443,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9443-962753.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9444,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9444-888354.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9445,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9445-384538.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9446,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9446-931688.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9447,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9447-792280.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9448,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9448-983184.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9449,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9449-637752.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9450,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9450-296866.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9451,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9451-980502.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9452,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9452-172124.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9453,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9453-733386.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9454,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9454-524423.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9455,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9455-197282.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9456,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9456-542779.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9457,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9457-648580.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9458,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9458-156614.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9459,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9459-732085.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9460,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9460-407688.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9461,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 9461-490590.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9462,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9462-192128.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9463,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9463-121297.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9464,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9464-963326.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9465,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9465-104718.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9466,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9466-940239.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9467,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9467-842675.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9468,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9468-754058.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9469,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9469-917961.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9470,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9470-294598.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9471,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9471-223141.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9472,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9472-575667.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9473,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9473-760107.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9474,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9474-832488.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9475,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9475-718252.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9476,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9476-575875.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9477,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9477-382185.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9478,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9478-104451.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9479,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9479-459729.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9480,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9480-678337.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9481,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9481-920709.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9482,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9482-291646.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9483,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9483-683605.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9484,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9484-786630.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9485,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9485-566540.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9486,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9486-835119.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9487,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9487-121227.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9488,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9488-907976.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9489,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9489-659332.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9490,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9490-242801.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9491,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9491-163362.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9492,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9492-314369.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9493,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9493-386068.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9494,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9494-838372.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9495,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9495-181674.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9496,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9496-183470.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9497,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9497-328569.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9498,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9498-806048.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9499,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9499-742998.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9500,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9500-696506.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9501,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9501-671195.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9502,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9502-189572.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9503,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9503-527486.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9504,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9504-970754.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9505,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9505-300823.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9506,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9506-922566.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9507,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9507-868956.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9508,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9508-615822.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9509,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9509-257131.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9510,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9510-982152.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9511,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9511-215616.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9512,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9512-390009.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9513,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9513-454199.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9514,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9514-451430.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9515,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9515-232568.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9516,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9516-309292.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9517,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9517-918717.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9518,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9518-179300.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9519,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9519-914203.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9520,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9520-208686.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9521,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9521-598711.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9522,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9522-996976.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9523,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9523-863708.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9524,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9524-301417.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9525,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9525-922747.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9526,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9526-852695.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9527,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9527-526586.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9528,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9528-168015.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9529,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9529-764071.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9530,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9530-372625.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9531,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9531-825005.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9532,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9532-764627.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9533,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9533-684723.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9534,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9534-974604.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9535,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9535-979838.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9536,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9536-716266.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9537,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9537-468708.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9538,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9538-395537.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9539,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9539-506938.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9540,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9540-219779.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9541,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9541-860394.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9542,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9542-264135.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9543,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9543-968494.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9544,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9544-990667.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9545,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9545-108983.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9546,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9546-406689.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9547,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9547-294382.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9548,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9548-201754.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9549,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9549-128052.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9550,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9550-236329.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9551,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9551-129060.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9552,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9552-760554.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9553,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9553-273267.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9554,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9554-268069.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9555,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9555-172031.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9556,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9556-479338.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9557,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9557-250386.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9558,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9558-515623.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9559,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9559-532932.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9560,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9560-197101.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9561,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9561-220804.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9562,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9562-711726.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9563,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9563-494853.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9564,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9564-640046.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9565,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9565-953398.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9566,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9566-583243.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9567,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9567-979836.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9568,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9568-215647.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9569,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9569-363545.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9570,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9570-570843.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9571,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9571-905084.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9572,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9572-209246.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9573,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9573-655444.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9574,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9574-295582.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9575,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9575-319073.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9576,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9576-792493.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9577,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9577-296774.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9578,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9578-135262.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9579,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9579-569181.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9580,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9580-880823.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9581,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9581-506509.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9582,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9582-813248.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9583,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9583-164894.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9584,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9584-125929.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9585,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9585-683443.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9586,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9586-149261.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9587,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9587-803302.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9588,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9588-743563.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9589,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9589-483807.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9590,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9590-968801.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9591,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9591-844590.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9592,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9592-944774.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9593,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9593-868227.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9594,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9594-838530.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9595,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9595-752005.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9596,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9596-517667.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9597,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9597-476130.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9598,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9598-870066.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9599,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9599-729687.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9600,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9600-926725.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9601,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9601-491725.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9602,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9602-495113.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9603,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9603-599321.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9604,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9604-682319.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9605,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9605-743730.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9606,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9606-444136.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9607,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9607-393250.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9608,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9608-894803.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9609,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9609-272475.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9610,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9610-146919.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9611,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9611-450088.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9612,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9612-637868.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9613,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9613-566237.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9614,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9614-744479.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9615,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9615-250825.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9616,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9616-424708.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9617,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9617-400135.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9618,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9618-226336.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9619,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9619-669611.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9620,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9620-219858.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9621,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9621-282588.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9622,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9622-680643.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9623,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9623-145310.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9624,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9624-283099.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9625,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9625-873759.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9626,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9626-934300.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9627,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9627-304535.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9628,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9628-902458.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9629,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9629-566239.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9630,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9630-359811.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9631,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9631-610539.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9632,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9632-504333.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9633,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9633-853338.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9634,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9634-457691.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9635,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9635-328712.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9636,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9636-903178.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9637,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9637-171955.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9638,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9638-768676.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9639,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9639-903349.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9640,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9640-566333.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9641,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9641-748304.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9642,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9642-699159.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9643,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9643-476285.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9644,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9644-238735.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9645,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9645-826501.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9646,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9646-784636.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9647,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9647-124220.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9648,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9648-889384.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9649,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9649-490000.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9650,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9650-779404.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9651,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9651-147638.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9652,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9652-428103.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9653,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9653-935333.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9654,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9654-503018.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9655,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9655-182961.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9656,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9656-164718.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9657,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9657-333712.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9658,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9658-172838.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9659,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9659-169732.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9660,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9660-218407.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9661,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9661-799444.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9662,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9662-600176.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9663,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9663-959337.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9664,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9664-102035.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9665,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9665-577009.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9666,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9666-146118.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9667,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9667-743482.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9668,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9668-491578.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9669,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9669-653841.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9670,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9670-909015.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9671,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9671-777592.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9672,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9672-320357.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9673,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9673-757006.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9674,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9674-105933.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9675,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9675-308065.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9676,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9676-656786.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9677,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9677-763911.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9678,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9678-121635.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9679,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9679-410463.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9680,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9680-521159.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9681,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9681-782980.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9682,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9682-220120.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9683,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9683-437755.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9684,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9684-507972.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9685,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9685-719057.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9686,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9686-247937.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9687,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9687-193890.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9688,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9688-623753.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9689,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9689-644602.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9690,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9690-521587.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9691,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9691-751595.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9692,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 9692-508329.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9693,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9693-736985.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9694,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9694-374441.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9695,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9695-373666.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9696,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9696-552909.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9697,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9697-834021.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9698,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9698-137009.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9699,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9699-931130.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9700,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9700-594551.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9701,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9701-353932.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9702,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9702-968782.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9703,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9703-638556.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9704,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9704-337370.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9705,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9705-492415.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9706,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9706-725148.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9707,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9707-270325.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9708,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9708-849323.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9709,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9709-228155.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9710,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9710-240337.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9711,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9711-910022.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9712,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9712-400483.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9713,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9713-374941.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9714,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9714-705336.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9715,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9715-969498.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9716,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9716-622715.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9717,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9717-611025.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9718,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9718-144390.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9719,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9719-726516.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9720,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9720-202171.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9721,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9721-747093.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9722,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9722-679025.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9723,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9723-141118.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9724,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9724-426686.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9725,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9725-115435.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9726,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9726-666818.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9727,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9727-220306.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9728,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9728-913834.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9729,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9729-751410.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9730,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9730-272260.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9731,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9731-735886.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9732,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9732-724282.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9733,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9733-653690.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9734,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9734-699296.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9735,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9735-577893.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9736,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9736-571145.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9737,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9737-234101.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9738,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9738-364661.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9739,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9739-895474.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9740,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9740-567039.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9741,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9741-160054.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9742,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9742-575061.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9743,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9743-431861.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9744,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9744-147685.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9745,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9745-580319.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9746,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9746-271962.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9747,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9747-406330.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9748,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9748-151828.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9749,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9749-495795.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9750,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9750-948399.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9751,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9751-633453.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9752,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9752-615711.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9753,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9753-787023.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9754,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9754-506366.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9755,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9755-494884.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9756,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9756-854420.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9757,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9757-312133.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9758,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9758-287180.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9759,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9759-398213.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9760,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9760-621396.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9761,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9761-932513.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9762,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9762-321517.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9763,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9763-241362.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9764,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9764-500116.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9765,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9765-710809.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9766,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9766-496574.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9767,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9767-708445.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9768,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9768-713628.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9769,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9769-726624.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9770,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9770-581836.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9771,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9771-952743.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9772,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9772-409956.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9773,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9773-264770.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9774,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9774-864493.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9775,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9775-409448.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9776,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9776-457218.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9777,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9777-457432.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9778,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9778-196808.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9779,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9779-488178.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9780,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9780-566581.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9781,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9781-966736.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9782,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9782-636680.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9783,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9783-486466.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9784,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9784-587755.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9785,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9785-916084.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9786,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9786-535902.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9787,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9787-627695.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9788,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9788-486659.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9789,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9789-349336.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9790,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9790-141081.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9791,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9791-784393.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9792,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9792-950976.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9793,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9793-760991.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9794,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9794-783830.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9795,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9795-221971.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9796,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9796-868099.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9797,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9797-248087.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9798,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9798-854301.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9799,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9799-384557.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9800,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 9800-447145.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9801,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9801-112152.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9802,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9802-720165.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9803,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9803-433702.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9804,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9804-410628.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9805,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9805-269539.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9806,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9806-290548.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9807,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9807-728123.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9808,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9808-798191.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9809,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9809-534488.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9810,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9810-798937.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9811,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9811-766226.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9812,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9812-137670.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9813,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9813-684346.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9814,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9814-322212.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9815,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9815-622019.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9816,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9816-529419.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9817,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9817-123279.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9818,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9818-405611.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9819,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9819-847638.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9820,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9820-574880.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9821,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9821-109440.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9822,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9822-900610.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9823,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9823-636272.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9824,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9824-773027.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9825,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9825-864514.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9826,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9826-682285.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9827,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9827-113735.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9828,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9828-333549.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9829,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9829-142581.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9830,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9830-130833.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9831,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9831-559829.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9832,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9832-865535.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9833,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9833-204966.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9834,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9834-213104.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9835,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9835-723842.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9836,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9836-208726.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9837,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9837-376495.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9838,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9838-424346.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9839,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9839-523121.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9840,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9840-754434.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9841,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9841-947105.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9842,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9842-570674.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9843,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9843-465088.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9844,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9844-114291.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9845,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9845-830134.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9846,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9846-349738.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9847,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9847-191596.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9848,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 9848-685457.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9849,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9849-486665.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9850,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9850-254595.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9851,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9851-641249.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9852,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9852-591751.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9853,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9853-921727.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9854,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9854-883276.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9855,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9855-136422.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9856,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9856-871053.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9857,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9857-608157.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9858,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9858-844152.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9859,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9859-287183.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9860,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9860-622011.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9861,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9861-220082.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9862,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9862-463317.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9863,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9863-549203.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9864,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9864-505827.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9865,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9865-984304.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9866,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9866-762637.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9867,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9867-841793.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9868,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9868-851578.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9869,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9869-798310.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9870,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9870-722692.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9871,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9871-337912.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9872,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9872-509237.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9873,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9873-125852.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9874,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9874-389748.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9875,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9875-978309.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9876,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9876-830639.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9877,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9877-747545.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9878,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9878-228033.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9879,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9879-676439.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9880,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9880-130434.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9881,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9881-595449.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9882,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9882-786725.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9883,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9883-476559.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9884,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9884-477381.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9885,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9885-205340.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9886,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9886-511293.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9887,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9887-754844.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9888,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9888-495117.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9889,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9889-130001.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9890,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9890-871051.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9891,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9891-354737.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9892,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9892-989610.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9893,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9893-114557.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9894,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9894-852828.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9895,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9895-707334.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9896,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9896-895322.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9897,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9897-274360.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9898,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9898-554923.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9899,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9899-689546.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9900,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9900-153662.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9901,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9901-553494.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9902,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9902-498007.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9903,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9903-756289.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9904,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9904-886579.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9905,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9905-104221.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9906,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9906-613060.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9907,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9907-448543.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9908,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9908-530233.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9909,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9909-520516.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9910,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9910-155369.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9911,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9911-985171.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9912,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9912-328398.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9913,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9913-496528.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9914,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9914-663917.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9915,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9915-875503.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9916,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9916-898861.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9917,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9917-567534.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9918,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9918-729644.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9919,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9919-144688.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9920,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9920-900191.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9921,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9921-372546.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9922,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9922-645974.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9923,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9923-951002.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9924,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9924-870677.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9925,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9925-857076.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9926,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9926-779328.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9927,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9927-480731.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9928,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9928-550575.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9929,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9929-846250.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9930,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9930-521957.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9931,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9931-250988.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9932,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9932-116543.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9933,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9933-341198.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9934,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9934-400069.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9935,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9935-865269.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9936,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9936-157160.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9937,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9937-133281.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9938,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9938-343060.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9939,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9939-797585.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9940,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9940-274123.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9941,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9941-433768.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9942,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9942-914293.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9943,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9943-304773.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9944,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9944-157909.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9945,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9945-761268.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9946,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9946-420572.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9947,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9947-278697.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9948,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 9948-818251.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9949,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9949-633124.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9950,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9950-654207.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9951,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9951-342760.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9952,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9952-740964.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9953,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9953-450203.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9954,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9954-920664.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9955,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9955-882615.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9956,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9956-966514.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9957,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9957-778119.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9958,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9958-678094.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9959,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9959-295182.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9960,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9960-352650.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9961,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9961-564330.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9962,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9962-488935.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9963,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9963-555551.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9964,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9964-289132.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9965,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9965-271817.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9966,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9966-372081.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9967,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9967-658562.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9968,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9968-659398.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9969,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9969-702596.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9970,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9970-847724.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9971,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9971-198214.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9972,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9972-993575.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9973,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9973-353082.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9974,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9974-416202.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9975,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9975-927683.",cybersecurity rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9976,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9976-444773.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9977,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9977-356027.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9978,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9978-578844.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9979,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9979-311208.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9980,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9980-406826.",cybersecurity rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9981,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9981-765082.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9982,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9982-161914.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9983,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9983-890774.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9984,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9984-972856.",cybersecurity rag-evaluation benchmark instruction en-us,clean,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9985,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9985-813626.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9986,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9986-830506.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9987,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9987-745979.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9988,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; 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: 9988-603058.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-23T05:55:23.708221Z,1.0000,ok
+9989,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9989-695099.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9990,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9990-309860.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9991,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9991-273581.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9992,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9992-163017.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok
+9993,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9993-660572.",cybersecurity rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9994,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9994-967620.",cybersecurity rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-23T05:55:23.708221Z,1.0000,ok
+9995,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9995-926811.",cybersecurity rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9996,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9996-411705.",cybersecurity rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9997,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9997-722814.",cybersecurity rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-23T05:55:23.708221Z,1.0000,ok
+9998,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9998-564646.",cybersecurity rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+9999,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: cybersecurity-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9999-907306.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-23T05:55:23.708221Z,1.0000,ok
+10000,"Theme: cybersecurity rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 10000-159196.",cybersecurity rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-23T05:55:23.708221Z,1.0000,ok